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<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:podcast="https://podcastindex.org/namespace/1.0" xmlns:media="http://search.yahoo.com/mrss/" version="2.0"><channel><title>AI House Davos</title><link>https://www.spreaker.com/podcast/ai-house-davos--7315552</link><description><![CDATA[The AI House is a non-profit multi-stakeholder platform for visionary dialogue and collaboration on key questions shaping the next frontier in AI. Represented by the AI House Association, we unite leaders, governments, and researchers on neutral ground to co-create an inclusive, aspirational path for human potential.]]></description><atom:link href="https://www.spreaker.com/show/7315552/episodes/feed" rel="self" type="application/rss+xml"/><language>es</language><category>Leisure</category><copyright>Copyright GER</copyright><image><url>https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/4023ad0dc220a6a55f3b8876f8e904b6.jpg</url><title>AI House Davos</title><link>https://www.spreaker.com/podcast/ai-house-davos--7315552</link></image><lastBuildDate>Fri, 04 Sep 2026 00:28:23 +0000</lastBuildDate><itunes:author>GER</itunes:author><itunes:owner><itunes:name>GER</itunes:name><itunes:email>feeds@spreaker.com</itunes:email></itunes:owner><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/4023ad0dc220a6a55f3b8876f8e904b6.jpg"/><itunes:subtitle>The AI House is a non-profit multi-stakeholder platform for visionary dialogue and collaboration on key questions shaping the next frontier in AI. Represented by the AI House Association, we unite leaders, governments, and researchers on neutral...</itunes:subtitle><itunes:summary><![CDATA[The AI House is a non-profit multi-stakeholder platform for visionary dialogue and collaboration on key questions shaping the next frontier in AI. Represented by the AI House Association, we unite leaders, governments, and researchers on neutral ground to co-create an inclusive, aspirational path for human potential.]]></itunes:summary><itunes:category text="Leisure"/><itunes:explicit>false</itunes:explicit><podcast:guid>a9bc5343-d9bd-5963-af27-fe8edeb6aab6</podcast:guid><itunes:type>episodic</itunes:type><item><title>Many Tongues, One Intelligence: Building the AI Commons for Language Diversity | AI House Davos 2026</title><link>https://www.spreaker.com/episode/many-tongues-one-intelligence-building-the-ai-commons-for-language-diversity-ai-house-davos-2026--74882733</link><description><![CDATA[How can we ensure that the next generation of AI systems reflects the world's linguistic and cultural diversity rather than narrowing it? What infrastructure is needed to preserve and amplify language diversity in the age of AI?<br /><br />This interactive evening session explores how shared AI infrastructures, from open data to equitable compute access, can empower linguistic diversity and prevent AI systems from homogenizing global languages. Through short expert inputs and open networking, participants exchange ideas on inclusive AI innovation for the common good, examining how multilingual AI, inclusive datasets, and accessible compute can create an AI Commons that serves all languages and cultures, not just dominant ones.<br /><br />Speakers<br />Annette Oxenius (ETH Zurich, Vice President Research and Member of Executive Board)<br />Stéphanie Lacour (EPFL, Vice President Support to Strategic Initiatives)<br />Antoine Bosselut (Swiss AI, Co-Lead of Apertus Project)<br />Martin Tisné (Current AI, Founder and Chair)<br />Alexandra Baumann (Swiss Federal Department for Foreign Affairs, Ambassador, Head of Division for Prosperity &amp; Sustainability)<br /><br />Moderator<br />Nina Frey (ICAIN, ETH Zurich, Executive Director)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partners:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460942</guid><pubDate>Wed, 28 Jan 2026 13:57:29 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882733/2095303612334460942.mp3" length="18409056" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>How can we ensure that the next generation of AI systems reflects the world's linguistic and cultural diversity rather than narrowing it? What infrastructure is needed to preserve and amplify language diversity in the age of AI?

This interactive...</itunes:subtitle><itunes:summary><![CDATA[How can we ensure that the next generation of AI systems reflects the world's linguistic and cultural diversity rather than narrowing it? What infrastructure is needed to preserve and amplify language diversity in the age of AI?<br /><br />This interactive evening session explores how shared AI infrastructures, from open data to equitable compute access, can empower linguistic diversity and prevent AI systems from homogenizing global languages. Through short expert inputs and open networking, participants exchange ideas on inclusive AI innovation for the common good, examining how multilingual AI, inclusive datasets, and accessible compute can create an AI Commons that serves all languages and cultures, not just dominant ones.<br /><br />Speakers<br />Annette Oxenius (ETH Zurich, Vice President Research and Member of Executive Board)<br />Stéphanie Lacour (EPFL, Vice President Support to Strategic Initiatives)<br />Antoine Bosselut (Swiss AI, Co-Lead of Apertus Project)<br />Martin Tisné (Current AI, Founder and Chair)<br />Alexandra Baumann (Swiss Federal Department for Foreign Affairs, Ambassador, Head of Division for Prosperity &amp; Sustainability)<br /><br />Moderator<br />Nina Frey (ICAIN, ETH Zurich, Executive Director)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partners:<br />KPMG]]></itunes:summary><itunes:duration>1151</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/2a0f2e30e93df48fb898a0141fd04d24.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Long Horizon: A Swiss Morning on the Future of Intelligence | AI House Davos 2026</title><link>https://www.spreaker.com/episode/the-long-horizon-a-swiss-morning-on-the-future-of-intelligence-ai-house-davos-2026--74882803</link><description><![CDATA[After a week of conversation at the AI House under the theme A Human Intelligence Shift, Friday turns our attention to The Long Horizon. The Swiss Morning sets the stage for looking beyond immediate breakthroughs to ask how intelligence may evolve, whether it will converge across cultures, fragment into competing systems, or diversify in new and surprising ways. Building on Switzerland's neutrality and strong innovation heritage, the day connects global debates to local realities, exploring how a small, future-focused nation can translate worldwide conversations into meaningful action at home while offering a steady voice to the international community.<br /><br />Speakers<br />Bernhard Kratzwald (EthonAI, Co-Founder and CTO)<br />Davide Scaramuzza (University of Zurich, Professor of Robotics and Perception)<br />Harald Kröll (Chipmind AG, Founder and CEO)<br />Nadja Christoffel (Prättigau–Davos, Head of Regional Development)<br />Philipp Hölzenbein (Raven, Co-Founder)<br />Rolf Pfister (Lab42, Co-Founder &amp; Director of Research)<br />Pascal Kaufmann (Mindfire, Founder and CEO)<br />Tilman Eberle (Davos Tech Summit, GM)<br /><br />Moderators<br />Florian Herzog (FHGR, Director of Studies AI in Software Engineering)<br />Rebecca Brauchli (Zurich University of Applied Sciences, Head of ZHAW digital)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460968</guid><pubDate>Tue, 27 Jan 2026 15:18:54 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882803/2095303612334460968.mp3" length="93189994" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>After a week of conversation at the AI House under the theme A Human Intelligence Shift, Friday turns our attention to The Long Horizon. The Swiss Morning sets the stage for looking beyond immediate breakthroughs to ask how intelligence may evolve,...</itunes:subtitle><itunes:summary><![CDATA[After a week of conversation at the AI House under the theme A Human Intelligence Shift, Friday turns our attention to The Long Horizon. The Swiss Morning sets the stage for looking beyond immediate breakthroughs to ask how intelligence may evolve, whether it will converge across cultures, fragment into competing systems, or diversify in new and surprising ways. Building on Switzerland's neutrality and strong innovation heritage, the day connects global debates to local realities, exploring how a small, future-focused nation can translate worldwide conversations into meaningful action at home while offering a steady voice to the international community.<br /><br />Speakers<br />Bernhard Kratzwald (EthonAI, Co-Founder and CTO)<br />Davide Scaramuzza (University of Zurich, Professor of Robotics and Perception)<br />Harald Kröll (Chipmind AG, Founder and CEO)<br />Nadja Christoffel (Prättigau–Davos, Head of Regional Development)<br />Philipp Hölzenbein (Raven, Co-Founder)<br />Rolf Pfister (Lab42, Co-Founder &amp; Director of Research)<br />Pascal Kaufmann (Mindfire, Founder and CEO)<br />Tilman Eberle (Davos Tech Summit, GM)<br /><br />Moderators<br />Florian Herzog (FHGR, Director of Studies AI in Software Engineering)<br />Rebecca Brauchli (Zurich University of Applied Sciences, Head of ZHAW digital)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></itunes:summary><itunes:duration>5825</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/6f9fa584dc30a8d0c16e8dd7ca74b53c.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>From Co-Pilots to Agentic Autonomous Economies | AI House Davos 2026</title><link>https://www.spreaker.com/episode/from-co-pilots-to-agentic-autonomous-economies-ai-house-davos-2026--74882829</link><description><![CDATA[The emergence of agent economies is inevitable. The rapid rise of autonomous AI agents is leading to a new economic layer of agent-agent interactions beyond human pace. These agents are beginning to act not just as tools, but as autonomous participants, transacting, negotiating, and coordinating in digital environments at scale. This shift brings immense potential for efficiency and innovation, but also serious risks and questions around fairness, control, and societal impact. This panel convenes AI researchers, economic game designers, policymakers, and ethicists to explore how we can proactively shape these emerging economies and build the critical infrastructure, identity, and oversight that will foster trust and coordination in these high-speed ecosystems.<br /><br />Speakers<br />David Evan Harris (UC Berkeley, Chancellor's Public Scholar)<br />Gordon Liao (Circle Internet Group, Chief Economist and Head of Research)<br />James Landay (Stanford HAI, Co-Director)<br />Rod Beckstrom (Investor, Author, Tech CEO, Geopolitician)<br /><br />Moderator<br />Kenneth Cukier (The Economist, Deputy Executive Editor)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460936</guid><pubDate>Fri, 23 Jan 2026 13:26:53 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882829/2095303612334460936.mp3" length="52660492" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>The emergence of agent economies is inevitable. The rapid rise of autonomous AI agents is leading to a new economic layer of agent-agent interactions beyond human pace. These agents are beginning to act not just as tools, but as autonomous...</itunes:subtitle><itunes:summary><![CDATA[The emergence of agent economies is inevitable. The rapid rise of autonomous AI agents is leading to a new economic layer of agent-agent interactions beyond human pace. These agents are beginning to act not just as tools, but as autonomous participants, transacting, negotiating, and coordinating in digital environments at scale. This shift brings immense potential for efficiency and innovation, but also serious risks and questions around fairness, control, and societal impact. This panel convenes AI researchers, economic game designers, policymakers, and ethicists to explore how we can proactively shape these emerging economies and build the critical infrastructure, identity, and oversight that will foster trust and coordination in these high-speed ecosystems.<br /><br />Speakers<br />David Evan Harris (UC Berkeley, Chancellor's Public Scholar)<br />Gordon Liao (Circle Internet Group, Chief Economist and Head of Research)<br />James Landay (Stanford HAI, Co-Director)<br />Rod Beckstrom (Investor, Author, Tech CEO, Geopolitician)<br /><br />Moderator<br />Kenneth Cukier (The Economist, Deputy Executive Editor)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></itunes:summary><itunes:duration>3292</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/1364b36378c4d67e6132a14f16ba223d.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Sustainable AI: From Climate Science to Efficient Computing | AI House Davos 2026</title><link>https://www.spreaker.com/episode/sustainable-ai-from-climate-science-to-efficient-computing-ai-house-davos-2026--74882764</link><description><![CDATA[As climate pressures intensify, AI is emerging as a critical tool for understanding risks, strengthening adaptation, and guiding smarter decisions. This session explores how new frugal AI models are improving climate efficiency, how advanced optimization tools can enhance energy systems and industrial processes, and how next-generation forecasting is reshaping resilience planning. The discussion highlights where AI delivers real environmental impact today and what breakthroughs are needed to scale sustainable solutions for tomorrow.<br /><br />Speakers<br />Eric Enselme (Independent Board Advisor)<br />Varun Sivaram (Emerald AI, Founder and CEO)<br />Himanshu Gupta (ClimateAi, Co-Founder and CEO)<br /><br />Moderator<br />Ghjulia Sialelli (ETH AI Center, PhD Fellow)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460935</guid><pubDate>Fri, 23 Jan 2026 13:13:43 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882764/2095303612334460935.mp3" length="51648613" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>As climate pressures intensify, AI is emerging as a critical tool for understanding risks, strengthening adaptation, and guiding smarter decisions. This session explores how new frugal AI models are improving climate efficiency, how advanced...</itunes:subtitle><itunes:summary><![CDATA[As climate pressures intensify, AI is emerging as a critical tool for understanding risks, strengthening adaptation, and guiding smarter decisions. This session explores how new frugal AI models are improving climate efficiency, how advanced optimization tools can enhance energy systems and industrial processes, and how next-generation forecasting is reshaping resilience planning. The discussion highlights where AI delivers real environmental impact today and what breakthroughs are needed to scale sustainable solutions for tomorrow.<br /><br />Speakers<br />Eric Enselme (Independent Board Advisor)<br />Varun Sivaram (Emerald AI, Founder and CEO)<br />Himanshu Gupta (ClimateAi, Co-Founder and CEO)<br /><br />Moderator<br />Ghjulia Sialelli (ETH AI Center, PhD Fellow)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></itunes:summary><itunes:duration>3228</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/3a7bcaf632e24fc5253767e4fcc1f810.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Unprecedented Scale – Building Startups in the Age of AI | AI House Davos 2026</title><link>https://www.spreaker.com/episode/unprecedented-scale-building-startups-in-the-age-of-ai-ai-house-davos-2026--74882753</link><description><![CDATA[AI is reshaping the startup playbook, with vibe coding and instant access to powerful models lowering the barrier to build. This panel brings founders, investors, and tech leaders together to explore how speed, data, and automation now drive advantage for AI-native companies and how unicorn-style growth is transforming markets. The discussion examines shifting economic dynamics across industries, venture, government, and ecosystem partners, how investors identify real potential, and what it takes to stand out when anyone can ship fast. Panelists share strategies for scaling responsibly, competing globally, and building impactful, sustainable AI-first organizations in this new era of company creation.<br /><br />Speakers<br />Alex Ilic (ETH AI Center, Co-Founder and Executive Director)<br />Andrew Ng (DeepLearning.AI, Founder)<br />Andy Hock (Cerebras Systems, Chief Strategy Officer)<br />Laura Modiano (OpenAI, Head of Startups EMEA)<br /><br />Moderator<br />Nicole Büttner (Merantix Momentum, Founder and CEO)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460938</guid><pubDate>Fri, 23 Jan 2026 13:05:15 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882753/2095303612334460938.mp3" length="52759966" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>AI is reshaping the startup playbook, with vibe coding and instant access to powerful models lowering the barrier to build. This panel brings founders, investors, and tech leaders together to explore how speed, data, and automation now drive advantage...</itunes:subtitle><itunes:summary><![CDATA[AI is reshaping the startup playbook, with vibe coding and instant access to powerful models lowering the barrier to build. This panel brings founders, investors, and tech leaders together to explore how speed, data, and automation now drive advantage for AI-native companies and how unicorn-style growth is transforming markets. The discussion examines shifting economic dynamics across industries, venture, government, and ecosystem partners, how investors identify real potential, and what it takes to stand out when anyone can ship fast. Panelists share strategies for scaling responsibly, competing globally, and building impactful, sustainable AI-first organizations in this new era of company creation.<br /><br />Speakers<br />Alex Ilic (ETH AI Center, Co-Founder and Executive Director)<br />Andrew Ng (DeepLearning.AI, Founder)<br />Andy Hock (Cerebras Systems, Chief Strategy Officer)<br />Laura Modiano (OpenAI, Head of Startups EMEA)<br /><br />Moderator<br />Nicole Büttner (Merantix Momentum, Founder and CEO)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></itunes:summary><itunes:duration>3298</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/d88b0879f10d0caac6a48b0e1a3272b8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Fabric of Society: AI in Critical Infrastructure | AI House Davos 2026</title><link>https://www.spreaker.com/episode/the-fabric-of-society-ai-in-critical-infrastructure-ai-house-davos-2026--74882754</link><description><![CDATA[AI is reshaping critical infrastructure, from data centers and power grids to satellite and communication networks. Rising compute demand, tighter reliability requirements, and deeper automation are forcing rapid changes in how these systems are designed and managed. With atomic energy remaining a vital source of stable baseload power, its role grows even more important as AI-driven systems increase overall electricity demand and dependence on reliable generation. This panel examines how AI can improve efficiency and operational resilience, while also creating new vulnerabilities, cyber risks, and capacity challenges.<br /><br />Speakers<br />Francesco Sciortino (Proxima Fusion, Co-Founder and CEO)<br />Frederic Werner (ITU, Chief Strategic Engagement Division, AI for Good)<br />Rafael Mariano Grossi (International Atomic Energy Agency, Director General)<br /><br />Moderator<br />Vijay V. Vaitheeswaran (The Economist, Global Energy and Climate Innovation Editor)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460957</guid><pubDate>Fri, 23 Jan 2026 12:48:06 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882754/2095303612334460957.mp3" length="52918373" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>AI is reshaping critical infrastructure, from data centers and power grids to satellite and communication networks. Rising compute demand, tighter reliability requirements, and deeper automation are forcing rapid changes in how these systems are...</itunes:subtitle><itunes:summary><![CDATA[AI is reshaping critical infrastructure, from data centers and power grids to satellite and communication networks. Rising compute demand, tighter reliability requirements, and deeper automation are forcing rapid changes in how these systems are designed and managed. With atomic energy remaining a vital source of stable baseload power, its role grows even more important as AI-driven systems increase overall electricity demand and dependence on reliable generation. This panel examines how AI can improve efficiency and operational resilience, while also creating new vulnerabilities, cyber risks, and capacity challenges.<br /><br />Speakers<br />Francesco Sciortino (Proxima Fusion, Co-Founder and CEO)<br />Frederic Werner (ITU, Chief Strategic Engagement Division, AI for Good)<br />Rafael Mariano Grossi (International Atomic Energy Agency, Director General)<br /><br />Moderator<br />Vijay V. Vaitheeswaran (The Economist, Global Energy and Climate Innovation Editor)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></itunes:summary><itunes:duration>3308</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/9f1871f8cacd94f6ee5b1985f977efc3.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Shadow AI: The Hidden Layer of Intelligence | AI House Davos 2026</title><link>https://www.spreaker.com/episode/shadow-ai-the-hidden-layer-of-intelligence-ai-house-davos-2026--74882739</link><description><![CDATA[This panel explores "Shadow AI" models, tools, and autonomous agents operating outside formal oversight. As AI proliferates beyond institutional control, risks around security, governance, and accountability intensify. The discussion examines how organizations and policymakers can detect, audit, and manage hidden AI systems, and how to balance open innovation with the systemic risks posed by unmonitored or unauthorized intelligent agents.<br /><br />Speakers<br />Menna El-Assady (ETH Zurich and Faculty, ETH AI Center, Professor)<br />Navrina Singh (Credo AI, Founder and CEO)<br />Petar Tsankov (LatticeFlow AI, Co-Founder and CEO)<br /><br />Moderator<br />Akhilesh Tuteja (KPMG, Global Leader, Cyber Security)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partners:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460952</guid><pubDate>Fri, 23 Jan 2026 12:36:33 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882739/2095303612334460952.mp3" length="51726353" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>This panel explores "Shadow AI" models, tools, and autonomous agents operating outside formal oversight. As AI proliferates beyond institutional control, risks around security, governance, and accountability intensify. The discussion examines how...</itunes:subtitle><itunes:summary><![CDATA[This panel explores "Shadow AI" models, tools, and autonomous agents operating outside formal oversight. As AI proliferates beyond institutional control, risks around security, governance, and accountability intensify. The discussion examines how organizations and policymakers can detect, audit, and manage hidden AI systems, and how to balance open innovation with the systemic risks posed by unmonitored or unauthorized intelligent agents.<br /><br />Speakers<br />Menna El-Assady (ETH Zurich and Faculty, ETH AI Center, Professor)<br />Navrina Singh (Credo AI, Founder and CEO)<br />Petar Tsankov (LatticeFlow AI, Co-Founder and CEO)<br /><br />Moderator<br />Akhilesh Tuteja (KPMG, Global Leader, Cyber Security)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partners:<br />KPMG]]></itunes:summary><itunes:duration>3233</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/31e8cc878fb745dcd0244b75de90ab69.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Sovereignty vs. Collaboration: Who Owns the Future of Intelligence? | AI House Davos 2026</title><link>https://www.spreaker.com/episode/sovereignty-vs-collaboration-who-owns-the-future-of-intelligence-ai-house-davos-2026--74882767</link><description><![CDATA[In a world where data is currency and AI drives progress, sovereignty is no longer just a buzzword. It's a battleground. Who truly controls the future of intelligence: nations, corporations, or the networks that span them? This session challenges the assumption that independence and global collaboration are mutually exclusive. Is the quest for sovereign AI a path to resilience, or a recipe for isolation and stagnation? We confront the hard questions: Can secure, compliant, air-gapped data coexist with the open exchange that fuels innovation? Does sovereignty demand walls, or can it thrive on bridges? This panel debates whether sovereignty is a shield or a cell and explores how bold, pragmatic strategies can reconcile autonomy with the undeniable benefits of global collaboration.<br /><br />Speakers<br />Denise Wong (IMDA, Assistant Chief Executive)<br />Juan Ramón Troncoso-Pastoriza (Tune Insight, Co-Founder and CEO)<br />Talal Al Kaissi (G42 &amp; Core42, Group Chief Global Affairs Officer &amp; Interim CEO)<br />Thierry Pienaar (HPE, Chief Tech Officer, HPC &amp; AI WW)<br /><br />Moderator<br />Irena Bednarich (Vice President, International Government Relations and Strategic Partnerhips, HPE)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460973</guid><pubDate>Fri, 23 Jan 2026 12:27:26 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882767/2095303612334460973.mp3" length="51247790" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>In a world where data is currency and AI drives progress, sovereignty is no longer just a buzzword. It's a battleground. Who truly controls the future of intelligence: nations, corporations, or the networks that span them? This session challenges the...</itunes:subtitle><itunes:summary><![CDATA[In a world where data is currency and AI drives progress, sovereignty is no longer just a buzzword. It's a battleground. Who truly controls the future of intelligence: nations, corporations, or the networks that span them? This session challenges the assumption that independence and global collaboration are mutually exclusive. Is the quest for sovereign AI a path to resilience, or a recipe for isolation and stagnation? We confront the hard questions: Can secure, compliant, air-gapped data coexist with the open exchange that fuels innovation? Does sovereignty demand walls, or can it thrive on bridges? This panel debates whether sovereignty is a shield or a cell and explores how bold, pragmatic strategies can reconcile autonomy with the undeniable benefits of global collaboration.<br /><br />Speakers<br />Denise Wong (IMDA, Assistant Chief Executive)<br />Juan Ramón Troncoso-Pastoriza (Tune Insight, Co-Founder and CEO)<br />Talal Al Kaissi (G42 &amp; Core42, Group Chief Global Affairs Officer &amp; Interim CEO)<br />Thierry Pienaar (HPE, Chief Tech Officer, HPC &amp; AI WW)<br /><br />Moderator<br />Irena Bednarich (Vice President, International Government Relations and Strategic Partnerhips, HPE)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></itunes:summary><itunes:duration>3203</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/697662a83863c9282ad1c1c7d51f77b9.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Inclusive Intelligence: Empowering Societies to Shape AI | AI House Davos 2026</title><link>https://www.spreaker.com/episode/inclusive-intelligence-empowering-societies-to-shape-ai-ai-house-davos-2026--74882794</link><description><![CDATA[How can societies actively shape the future of AI through inclusion, literacy, and broad civic participation? What mechanisms enable informed communities to influence AI governance?<br /><br />This panel explores how societies can move from passive recipients to active shapers of AI futures. The discussion examines strategies to strengthen public engagement in AI policymaking, close knowledge gaps through accessible education programs, and build tools that enable transparent, participatory governance. Speakers share insights on how informed communities can influence the development, deployment, and oversight of AI systems that impact daily life and democratic decision-making—from university-led education initiatives to civic assemblies and cross-border research collaboration.<br /><br />Speakers<br />Baroness Joanna Shields (Responsible AI Future Foundation, Executive Chair)<br />Basma AlBuhairan (C4IR Saudi Arabia, Managing Director)<br />Joël Mesot (ETH Zürich, President)<br />Thomas Hofmann (Technical University of Munich, President)<br /><br />Moderator<br />Spriha Srivastava (CNBC, VP &amp; International Executive Editor of Digital)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460962</guid><pubDate>Thu, 22 Jan 2026 19:51:03 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882794/2095303612334460962.mp3" length="52358725" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>How can societies actively shape the future of AI through inclusion, literacy, and broad civic participation? What mechanisms enable informed communities to influence AI governance?

This panel explores how societies can move from passive recipients...</itunes:subtitle><itunes:summary><![CDATA[How can societies actively shape the future of AI through inclusion, literacy, and broad civic participation? What mechanisms enable informed communities to influence AI governance?<br /><br />This panel explores how societies can move from passive recipients to active shapers of AI futures. The discussion examines strategies to strengthen public engagement in AI policymaking, close knowledge gaps through accessible education programs, and build tools that enable transparent, participatory governance. Speakers share insights on how informed communities can influence the development, deployment, and oversight of AI systems that impact daily life and democratic decision-making—from university-led education initiatives to civic assemblies and cross-border research collaboration.<br /><br />Speakers<br />Baroness Joanna Shields (Responsible AI Future Foundation, Executive Chair)<br />Basma AlBuhairan (C4IR Saudi Arabia, Managing Director)<br />Joël Mesot (ETH Zürich, President)<br />Thomas Hofmann (Technical University of Munich, President)<br /><br />Moderator<br />Spriha Srivastava (CNBC, VP &amp; International Executive Editor of Digital)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></itunes:summary><itunes:duration>3273</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/6e2b8089951005c6f8b8621dc79adec6.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AGI Night | AI House Davos 2026</title><link>https://www.spreaker.com/episode/agi-night-ai-house-davos-2026--74882737</link><description><![CDATA[An evening to rethink what AGI truly means. Rather than seeing intelligence as stored knowledge or fixed patterns, we explore it as a dynamic, evolving process, one that has shaped human cognition across millions of years. How close are we to creating machines that don't just perform tasks but continuously reshape their own models of the world? What risks and possibilities arise when intelligence becomes augmented, accelerated, or even decoupled from biology as we know it now? We examine the promises and perils of transformative AI, and widen the discussion into cultural, philosophical, and spiritual dimensions. What does it mean for humanity when a new kind of mind emerges alongside us? And how might this shift redefine creativity, purpose, and the future of human evolution?<br /><br />Speakers<br />Gary Marcus (NYU, Professor Emeritus)<br />Max Tegmark (MIT &amp; Future of Life Institute, Professor &amp; President)<br />Richard Socher (you.com, Co-Founder and CEO)<br /><br />Moderator<br />Jack Symes (Durham University, Philosopher)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partners:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460966</guid><pubDate>Thu, 22 Jan 2026 13:08:28 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882737/2095303612334460966.mp3" length="51875983" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>An evening to rethink what AGI truly means. Rather than seeing intelligence as stored knowledge or fixed patterns, we explore it as a dynamic, evolving process, one that has shaped human cognition across millions of years. How close are we to creating...</itunes:subtitle><itunes:summary><![CDATA[An evening to rethink what AGI truly means. Rather than seeing intelligence as stored knowledge or fixed patterns, we explore it as a dynamic, evolving process, one that has shaped human cognition across millions of years. How close are we to creating machines that don't just perform tasks but continuously reshape their own models of the world? What risks and possibilities arise when intelligence becomes augmented, accelerated, or even decoupled from biology as we know it now? We examine the promises and perils of transformative AI, and widen the discussion into cultural, philosophical, and spiritual dimensions. What does it mean for humanity when a new kind of mind emerges alongside us? And how might this shift redefine creativity, purpose, and the future of human evolution?<br /><br />Speakers<br />Gary Marcus (NYU, Professor Emeritus)<br />Max Tegmark (MIT &amp; Future of Life Institute, Professor &amp; President)<br />Richard Socher (you.com, Co-Founder and CEO)<br /><br />Moderator<br />Jack Symes (Durham University, Philosopher)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partners:<br />KPMG]]></itunes:summary><itunes:duration>3243</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/d2b0a5be33deb5775c86052ad62102e9.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI Generation: Rethinking Primary and Secondary Education | AI House Davos 2026</title><link>https://www.spreaker.com/episode/ai-generation-rethinking-primary-and-secondary-education-ai-house-davos-2026--74882821</link><description><![CDATA[In recent years, the use of AI, including generative AI, has been expanding in primary and secondary education. This panel discusses the use of AI in education from a wide range of perspectives, including educational benefits and concerns, impacts on children's development, challenges in implementation and operation, national and local policies, and global trends.<br /><br />Speakers<br />Masami Hagiya (Institute for AI and Beyond, Director)<br />Don Passey (Lancaster University, Professor, School of Social Sciences)<br />Mary Webb (King's College London, Professor of AI in Education)<br /><br />Moderator<br />Toshinori Saito (Seisa University, Professor, Graduate School of Education)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partners:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460956</guid><pubDate>Thu, 22 Jan 2026 12:54:24 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882821/2095303612334460956.mp3" length="51260329" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>In recent years, the use of AI, including generative AI, has been expanding in primary and secondary education. This panel discusses the use of AI in education from a wide range of perspectives, including educational benefits and concerns, impacts on...</itunes:subtitle><itunes:summary><![CDATA[In recent years, the use of AI, including generative AI, has been expanding in primary and secondary education. This panel discusses the use of AI in education from a wide range of perspectives, including educational benefits and concerns, impacts on children's development, challenges in implementation and operation, national and local policies, and global trends.<br /><br />Speakers<br />Masami Hagiya (Institute for AI and Beyond, Director)<br />Don Passey (Lancaster University, Professor, School of Social Sciences)<br />Mary Webb (King's College London, Professor of AI in Education)<br /><br />Moderator<br />Toshinori Saito (Seisa University, Professor, Graduate School of Education)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partners:<br />KPMG]]></itunes:summary><itunes:duration>3204</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/2517308b16d4730e804e1a8746ff45fd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Next Wave of Deep Tech and Future Use | AI House Davos 2026</title><link>https://www.spreaker.com/episode/the-next-wave-of-deep-tech-and-future-use-ai-house-davos-2026--74882766</link><description><![CDATA[As generative and agentic AI move from early adoption into true mainstream use, a new set of frontiers is rapidly coming into view. This session explores the next wave of AI innovation beyond today's paradigms, examining where the technology is heading, which breakthroughs still stand between us and the next leap forward, and how these advances could reshape entire industries throughout the 2030s. From multimodal intelligence and autonomous experimentation to large-scale simulation and the emergence of new human-machine interfaces, the panel maps out trajectories that could redefine how AI is built, deployed, and experienced.<br /><br />Speakers<br />Adrian Locher (Merantix Capital, Co-Founder and General Partner)<br />Andrey Khusid (Miro, Founder and CEO)<br />Deepak Pathak (Skild AI, Co-Founder and CEO)<br />Nal Kalchbrenner (Project Prometheus, Founding Member)<br /><br />Moderator<br />Jamie Heller (Business Insider, Editor in Chief)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partners:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460948</guid><pubDate>Thu, 22 Jan 2026 12:28:56 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882766/2095303612334460948.mp3" length="50784273" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>As generative and agentic AI move from early adoption into true mainstream use, a new set of frontiers is rapidly coming into view. This session explores the next wave of AI innovation beyond today's paradigms, examining where the technology is...</itunes:subtitle><itunes:summary><![CDATA[As generative and agentic AI move from early adoption into true mainstream use, a new set of frontiers is rapidly coming into view. This session explores the next wave of AI innovation beyond today's paradigms, examining where the technology is heading, which breakthroughs still stand between us and the next leap forward, and how these advances could reshape entire industries throughout the 2030s. From multimodal intelligence and autonomous experimentation to large-scale simulation and the emergence of new human-machine interfaces, the panel maps out trajectories that could redefine how AI is built, deployed, and experienced.<br /><br />Speakers<br />Adrian Locher (Merantix Capital, Co-Founder and General Partner)<br />Andrey Khusid (Miro, Founder and CEO)<br />Deepak Pathak (Skild AI, Co-Founder and CEO)<br />Nal Kalchbrenner (Project Prometheus, Founding Member)<br /><br />Moderator<br />Jamie Heller (Business Insider, Editor in Chief)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partners:<br />KPMG]]></itunes:summary><itunes:duration>3174</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/b891d5247ae06ee87d9d4fec85a43069.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Quantum Computing as the Next Frontier in AI Capability | AI House Davos 2026</title><link>https://www.spreaker.com/episode/quantum-computing-as-the-next-frontier-in-ai-capability-ai-house-davos-2026--74882747</link><description><![CDATA[Quantum computing is emerging as the next frontier in AI, promising new forms of capability far beyond today's systems. This panel explores what breakthroughs might become possible when quantum techniques are applied to machine learning, and how close we truly are to achieving useful quantum advantage for AI. The discussion also looks at the broader implications for security, accelerating human discovery and global governance as quantum power grows.<br /><br />Speakers<br />Grégoire Ribordy (IonQ, VP Science &amp; Technology, Founder, ID Quantique)<br />Marina Marinkovic (ETH Zurich, Professor Computational Physics)<br />Nathan Baker (Microsoft, Lead Architect of Quantum)<br />Steve Suarez (HorizonX, Founder and CEO)<br /><br />Moderator<br />Anu Unnikrishnan (ETH Zurich, Executive Director Quantum Center)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460963</guid><pubDate>Thu, 22 Jan 2026 12:08:21 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882747/2095303612334460963.mp3" length="51479757" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Quantum computing is emerging as the next frontier in AI, promising new forms of capability far beyond today's systems. This panel explores what breakthroughs might become possible when quantum techniques are applied to machine learning, and how close...</itunes:subtitle><itunes:summary><![CDATA[Quantum computing is emerging as the next frontier in AI, promising new forms of capability far beyond today's systems. This panel explores what breakthroughs might become possible when quantum techniques are applied to machine learning, and how close we truly are to achieving useful quantum advantage for AI. The discussion also looks at the broader implications for security, accelerating human discovery and global governance as quantum power grows.<br /><br />Speakers<br />Grégoire Ribordy (IonQ, VP Science &amp; Technology, Founder, ID Quantique)<br />Marina Marinkovic (ETH Zurich, Professor Computational Physics)<br />Nathan Baker (Microsoft, Lead Architect of Quantum)<br />Steve Suarez (HorizonX, Founder and CEO)<br /><br />Moderator<br />Anu Unnikrishnan (ETH Zurich, Executive Director Quantum Center)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3218</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/db89838edb6f56c7fe802c4b020de60c.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>From Orbit to Insight: AI’s Role in Shaping a Smarter Planet | AI House Davos 2026</title><link>https://www.spreaker.com/episode/from-orbit-to-insight-ai-s-role-in-shaping-a-smarter-planet-ai-house-davos-2026--74882810</link><description><![CDATA[Space exploration isn't just about reaching new frontiers - it's about unlocking breakthroughs that transform life on Earth. This panel explores how AI in space is accelerating innovation and driving real-world impact across smart cities, precision agriculture, disaster response, climate modeling, and global sustainability. From analysing satellite imagery to training AI models aboard the International Space Station, and even the future development of orbital data centres, space-powered intelligence is transforming global challenges into opportunities for a smarter and more resilient world.<br /><br />Speakers<br />Samantha Cristoforetti (European Space Agency, Astronaut)<br />Bernhard von Weyhe (European Space Agency,Senior Media Relations Officer)<br />Mark Mozena (Planet,Vice President of Government Affairs)<br /><br />Moderator<br />Kirk Bresniker (HPE Labs, HPE Fellow, Vice President &amp; Chief Architect)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partners:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460940</guid><pubDate>Thu, 22 Jan 2026 11:53:50 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882810/2095303612334460940.mp3" length="53543222" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Space exploration isn't just about reaching new frontiers - it's about unlocking breakthroughs that transform life on Earth. This panel explores how AI in space is accelerating innovation and driving real-world impact across smart cities, precision...</itunes:subtitle><itunes:summary><![CDATA[Space exploration isn't just about reaching new frontiers - it's about unlocking breakthroughs that transform life on Earth. This panel explores how AI in space is accelerating innovation and driving real-world impact across smart cities, precision agriculture, disaster response, climate modeling, and global sustainability. From analysing satellite imagery to training AI models aboard the International Space Station, and even the future development of orbital data centres, space-powered intelligence is transforming global challenges into opportunities for a smarter and more resilient world.<br /><br />Speakers<br />Samantha Cristoforetti (European Space Agency, Astronaut)<br />Bernhard von Weyhe (European Space Agency,Senior Media Relations Officer)<br />Mark Mozena (Planet,Vice President of Government Affairs)<br /><br />Moderator<br />Kirk Bresniker (HPE Labs, HPE Fellow, Vice President &amp; Chief Architect)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partners:<br />KPMG]]></itunes:summary><itunes:duration>3347</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/9ac47f9800fd4e2a7d19f6eb217c089c.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>What is a Job? NextGen Organizational Strategy, Structure, and Scale | AI House Davos 2026</title><link>https://www.spreaker.com/episode/what-is-a-job-nextgen-organizational-strategy-structure-and-scale-ai-house-davos-2026--74882823</link><description><![CDATA[AI is redefining how organizations create, coordinate, and capture value. As enterprises become AI-native, traditional organizational models are being dismantled and the boundaries of what a 'job' is are being reshaped entirely. Collaboration between humans and AI agents is transforming organizations from rigid structures into dynamic systems of intelligence. Acting as co-workers and autonomous economic actors, they reshape work, markets, and accountability. This panel focuses on how human–agent organizations are transforming industries and redefining business models and what this means for strategy, leadership, and the future of work.<br /><br />Speakers<br />May Habib (WRITER, Co-Founder and CEO)<br />Alessandro de Luca (Merck, Head of Digital Enterprise Solutions and Group CIO)<br />Judith Wiese (Siemens, Chief People and Sustainability Officer and Member of the Managing Board)<br /><br />Moderator<br />Ashish Madan (KPMG Germany, Managing Partner, CTO)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460971</guid><pubDate>Thu, 22 Jan 2026 11:28:03 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882823/2095303612334460971.mp3" length="55069609" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>AI is redefining how organizations create, coordinate, and capture value. As enterprises become AI-native, traditional organizational models are being dismantled and the boundaries of what a 'job' is are being reshaped entirely. Collaboration between...</itunes:subtitle><itunes:summary><![CDATA[AI is redefining how organizations create, coordinate, and capture value. As enterprises become AI-native, traditional organizational models are being dismantled and the boundaries of what a 'job' is are being reshaped entirely. Collaboration between humans and AI agents is transforming organizations from rigid structures into dynamic systems of intelligence. Acting as co-workers and autonomous economic actors, they reshape work, markets, and accountability. This panel focuses on how human–agent organizations are transforming industries and redefining business models and what this means for strategy, leadership, and the future of work.<br /><br />Speakers<br />May Habib (WRITER, Co-Founder and CEO)<br />Alessandro de Luca (Merck, Head of Digital Enterprise Solutions and Group CIO)<br />Judith Wiese (Siemens, Chief People and Sustainability Officer and Member of the Managing Board)<br /><br />Moderator<br />Ashish Madan (KPMG Germany, Managing Partner, CTO)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></itunes:summary><itunes:duration>3442</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/fd6d1a0072c9b659b4992e1cece7beb7.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Embodied AI: Systems that See, Hear, and Act in the World Alongside Humans | AI House Davos 2026</title><link>https://www.spreaker.com/episode/embodied-ai-systems-that-see-hear-and-act-in-the-world-alongside-humans-ai-house-davos-2026--74882804</link><description><![CDATA[Embodied AI refers to AI integrated into physical systems that can perceive, reason, and act in the real world through sensors and actuators, like robots and autonomous vehicles. This fireside conversation explores how advances in AI like vision–language–action models are redefining what machines can understand and do, especially as we move from navigation to mobile manipulation. The speakers discuss how quickly today's rapid progress in AI might transfer to robotics and embodied systems, and how soon we can expect to see these technologies making a tangible impact on our daily lives.<br /><br />Speakers<br />Yann LeCun (Advanced Machine Intelligence, Founder and Executive Chairman)<br />Marc Pollefeys (ETH Zürich and Faculty, ETH AI Center, Professor)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460958</guid><pubDate>Thu, 22 Jan 2026 11:24:28 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882804/2095303612334460958.mp3" length="52125504" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Embodied AI refers to AI integrated into physical systems that can perceive, reason, and act in the real world through sensors and actuators, like robots and autonomous vehicles. This fireside conversation explores how advances in AI like...</itunes:subtitle><itunes:summary><![CDATA[Embodied AI refers to AI integrated into physical systems that can perceive, reason, and act in the real world through sensors and actuators, like robots and autonomous vehicles. This fireside conversation explores how advances in AI like vision–language–action models are redefining what machines can understand and do, especially as we move from navigation to mobile manipulation. The speakers discuss how quickly today's rapid progress in AI might transfer to robotics and embodied systems, and how soon we can expect to see these technologies making a tangible impact on our daily lives.<br /><br />Speakers<br />Yann LeCun (Advanced Machine Intelligence, Founder and Executive Chairman)<br />Marc Pollefeys (ETH Zürich and Faculty, ETH AI Center, Professor)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></itunes:summary><itunes:duration>3258</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/4428bedd0338cecacedc1ebb5b76a18b.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Leap to Longevity: Forever Healthy | AI House Davos 2026</title><link>https://www.spreaker.com/episode/the-leap-to-longevity-forever-healthy-ai-house-davos-2026--74882835</link><description><![CDATA[As AI redefines medicine, the focus is shifting from treating illness to preserving health and extending human longevity. This panel explores how intelligent systems enable a proactive, preventative, and personalized approach to care—from genomic insights to continuous diagnostics and digital twins. The conversation examines the infrastructure, ethical, and access considerations needed to ensure longevity gains are inclusive and globally distributed.<br /><br />Speakers<br />Evelyne Yehudit Bischof (Harvard Medical School, Professor of Medicine and Longevity Expert)<br />Nikita Popov (Novartis, Head of AI Strategy Office)<br />Olivier Oullier (Mohammed bin Zayed University of Artificial Intelligence, Professor)<br />Dimitris Moulavasilis (M42, Group Chief Executive Officer)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460972</guid><pubDate>Thu, 22 Jan 2026 11:20:13 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882835/2095303612334460972.mp3" length="51957485" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>As AI redefines medicine, the focus is shifting from treating illness to preserving health and extending human longevity. This panel explores how intelligent systems enable a proactive, preventative, and personalized approach to care—from genomic...</itunes:subtitle><itunes:summary><![CDATA[As AI redefines medicine, the focus is shifting from treating illness to preserving health and extending human longevity. This panel explores how intelligent systems enable a proactive, preventative, and personalized approach to care—from genomic insights to continuous diagnostics and digital twins. The conversation examines the infrastructure, ethical, and access considerations needed to ensure longevity gains are inclusive and globally distributed.<br /><br />Speakers<br />Evelyne Yehudit Bischof (Harvard Medical School, Professor of Medicine and Longevity Expert)<br />Nikita Popov (Novartis, Head of AI Strategy Office)<br />Olivier Oullier (Mohammed bin Zayed University of Artificial Intelligence, Professor)<br />Dimitris Moulavasilis (M42, Group Chief Executive Officer)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></itunes:summary><itunes:duration>3248</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a5253da78fc40b9d4b13c94713a27d88.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>From Gold Rush to Growth: Investing in AI’s Real Value | AI House Davos 2026</title><link>https://www.spreaker.com/episode/from-gold-rush-to-growth-investing-in-ai-s-real-value-ai-house-davos-2026--74882833</link><description><![CDATA[How do investors evaluate real value in AI's noisy market? Are we heading for an AI bubble in 2026, or witnessing sustainable transformation?<br /><br />The AI landscape is moving with dizzying speed, with sky high valuations achieved before a product is even built, let alone hitting the market. In this panel, leading investors share how they evaluate real value in a noisy market, from pre-seed to growth stage and implications for the public markets. They'll discuss where technological breakthroughs are emerging, how business models are changing in the age of AI, and whether an AI "bubble" bursts in 2026.<br /><br />Speakers<br />David Siegel (Two Sigma, Co-Founder &amp; Co-Chairman)<br />Rasmus Rothe (Merantix Capital, Co-Founder and General Partner)<br />Rob Heyvaert (Motive Partners, Founder and Managing Partner)<br /><br />Moderator<br />Spriha Srivastava (CNBC International, Executive Editor of Digital)<br /><br />(c) AI House Davos 2026<br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460976</guid><pubDate>Wed, 21 Jan 2026 22:01:59 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882833/2095303612334460976.mp3" length="52824332" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>How do investors evaluate real value in AI's noisy market? Are we heading for an AI bubble in 2026, or witnessing sustainable transformation?

The AI landscape is moving with dizzying speed, with sky high valuations achieved before a product is even...</itunes:subtitle><itunes:summary><![CDATA[How do investors evaluate real value in AI's noisy market? Are we heading for an AI bubble in 2026, or witnessing sustainable transformation?<br /><br />The AI landscape is moving with dizzying speed, with sky high valuations achieved before a product is even built, let alone hitting the market. In this panel, leading investors share how they evaluate real value in a noisy market, from pre-seed to growth stage and implications for the public markets. They'll discuss where technological breakthroughs are emerging, how business models are changing in the age of AI, and whether an AI "bubble" bursts in 2026.<br /><br />Speakers<br />David Siegel (Two Sigma, Co-Founder &amp; Co-Chairman)<br />Rasmus Rothe (Merantix Capital, Co-Founder and General Partner)<br />Rob Heyvaert (Motive Partners, Founder and Managing Partner)<br /><br />Moderator<br />Spriha Srivastava (CNBC International, Executive Editor of Digital)<br /><br />(c) AI House Davos 2026<br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></itunes:summary><itunes:duration>3302</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/f2cbc7e151a0b1ff0203d8398c2cf0a7.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Reimagining Drug Discovery with Frontier AI: From Molecules to Medicine | AI House Davos 2026</title><link>https://www.spreaker.com/episode/reimagining-drug-discovery-with-frontier-ai-from-molecules-to-medicine-ai-house-davos-2026--74882778</link><description><![CDATA[How is AI compressing the path from target hypothesis to designed molecules? What diseases become solvable when we redesign discovery itself?<br /><br />AI is learning the rules of biology and rewriting the pace of drug discovery. This session explores how generative and predictive models are compressing the path from target hypothesis to designed molecules and proteins. We'll unpack what it takes to move from promising outputs to trustworthy decisions, through rigorous validation, reproducible workflows, and governance that builds trust with scientific and regulatory stakeholders. Beyond productivity, the session asks a deeper question: what diseases become solvable when we redesign discovery itself?<br /><br />Speakers<br />Aldo Faisal (Imperial College London, Professor in AI &amp; Neuroscience)<br />Colin Hill (Aitia, Co-Founder and CEO)<br />Noubar Afeyan (Flagship Pioneering, CEO)<br />Fiona Marshall (Novartis, President Biomedical Research)<br /><br />Moderator<br />Nikita Popov (Novartis, Head of AI Strategy Office)<br /><br />(c) AI House Davos 2026<br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partners:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460954</guid><pubDate>Wed, 21 Jan 2026 21:42:41 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882778/2095303612334460954.mp3" length="51552900" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>How is AI compressing the path from target hypothesis to designed molecules? What diseases become solvable when we redesign discovery itself?

AI is learning the rules of biology and rewriting the pace of drug discovery. This session explores how...</itunes:subtitle><itunes:summary><![CDATA[How is AI compressing the path from target hypothesis to designed molecules? What diseases become solvable when we redesign discovery itself?<br /><br />AI is learning the rules of biology and rewriting the pace of drug discovery. This session explores how generative and predictive models are compressing the path from target hypothesis to designed molecules and proteins. We'll unpack what it takes to move from promising outputs to trustworthy decisions, through rigorous validation, reproducible workflows, and governance that builds trust with scientific and regulatory stakeholders. Beyond productivity, the session asks a deeper question: what diseases become solvable when we redesign discovery itself?<br /><br />Speakers<br />Aldo Faisal (Imperial College London, Professor in AI &amp; Neuroscience)<br />Colin Hill (Aitia, Co-Founder and CEO)<br />Noubar Afeyan (Flagship Pioneering, CEO)<br />Fiona Marshall (Novartis, President Biomedical Research)<br /><br />Moderator<br />Nikita Popov (Novartis, Head of AI Strategy Office)<br /><br />(c) AI House Davos 2026<br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partners:<br />KPMG]]></itunes:summary><itunes:duration>3222</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/45a866e885d6829fc63bebab0eb21045.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Large Scale AI as a Public Infrastructure | AI House Davos 2026</title><link>https://www.spreaker.com/episode/large-scale-ai-as-a-public-infrastructure-ai-house-davos-2026--74882751</link><description><![CDATA[Should AI be treated as a public good like roads or power grids? How do we ensure fair access to computational resources across regions and communities?<br /><br />How should large-scale AI be governed? By states, public–private partnerships, or international coalitions to ensure transparency, accountability, and democratic oversight? What would it mean to treat AI as a public good that promotes fair access to computational and data resources across regions, sectors, and communities? What models and standards (interoperability, safety, data portability) are needed to build scalable, reliable, and open AI infrastructure and what lessons can be drawn from other public systems like the internet or energy grids? How can nations coordinate to ensure responsible, environmentally sustainable AI infrastructure that avoids fragmentation and serves as a shared global resource?<br /><br />Speakers<br />Peter Sarlin (Silo AI, Co-Founder and CEO)<br />Andreas Krause (ETH Zürich, Professor and Chair, ETH AI Center)<br />Audrey Herblin Stoop (Mistral AI, SVP, Global Public Affairs &amp; Communications)<br />Petri Myllymäki (CSC - IT Center for Science, Board Member of CSC Hosting the LUMI AI Factory)<br /><br />Moderator<br />Sunnie J. Groeneveld (Inspire 925, Managing Partner)<br /><br />(c) AI House Davos 2026<br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460953</guid><pubDate>Wed, 21 Jan 2026 20:39:13 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882751/2095303612334460953.mp3" length="56146690" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Should AI be treated as a public good like roads or power grids? How do we ensure fair access to computational resources across regions and communities?

How should large-scale AI be governed? By states, public–private partnerships, or international...</itunes:subtitle><itunes:summary><![CDATA[Should AI be treated as a public good like roads or power grids? How do we ensure fair access to computational resources across regions and communities?<br /><br />How should large-scale AI be governed? By states, public–private partnerships, or international coalitions to ensure transparency, accountability, and democratic oversight? What would it mean to treat AI as a public good that promotes fair access to computational and data resources across regions, sectors, and communities? What models and standards (interoperability, safety, data portability) are needed to build scalable, reliable, and open AI infrastructure and what lessons can be drawn from other public systems like the internet or energy grids? How can nations coordinate to ensure responsible, environmentally sustainable AI infrastructure that avoids fragmentation and serves as a shared global resource?<br /><br />Speakers<br />Peter Sarlin (Silo AI, Co-Founder and CEO)<br />Andreas Krause (ETH Zürich, Professor and Chair, ETH AI Center)<br />Audrey Herblin Stoop (Mistral AI, SVP, Global Public Affairs &amp; Communications)<br />Petri Myllymäki (CSC - IT Center for Science, Board Member of CSC Hosting the LUMI AI Factory)<br /><br />Moderator<br />Sunnie J. Groeneveld (Inspire 925, Managing Partner)<br /><br />(c) AI House Davos 2026<br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></itunes:summary><itunes:duration>3510</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/2734b5ff8803232f5a138e19da26295e.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Reimagine Public Service: AI for Real-Time, Predictive, Citizen-Centric Impact | AI House Davos 2026</title><link>https://www.spreaker.com/episode/reimagine-public-service-ai-for-real-time-predictive-citizen-centric-impact-ai-house-davos-2026--74882771</link><description><![CDATA[How can governments deliver services that are faster, fairer, and more responsive to citizens? What new models embed AI into governance frameworks designed around people, not just processes?<br /><br />Governments around the world are facing rising expectations to deliver services that are faster, fairer, and more responsive to citizens. This panel discussion covers how AI is reshaping public administration, from crisis response and digital identity to predictive service delivery and real-time policy feedback loops. The conversation aims to surface new models for embedding AI into governance frameworks that are transparent, inclusive, and designed around people, not just processes.<br /><br />Speakers<br />Carolin Wittmann (European Institute for Future Generations, Co-Founder)<br />H.E. Mohamed Bin Taliah (UAE Government, Chief of Government Services)<br />Joelle Pineau (Cohere, Chief AI Officer)<br />Thomas Pramotedham (Presight, CEO)<br /><br />Moderator<br />Lubna Bouza (Sky News Arabia TV, Head of Business News and Presenter)<br /><br />(c) AI House Davos 2026<br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460947</guid><pubDate>Wed, 21 Jan 2026 19:20:30 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882771/2095303612334460947.mp3" length="54654157" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>How can governments deliver services that are faster, fairer, and more responsive to citizens? What new models embed AI into governance frameworks designed around people, not just processes?

Governments around the world are facing rising expectations...</itunes:subtitle><itunes:summary><![CDATA[How can governments deliver services that are faster, fairer, and more responsive to citizens? What new models embed AI into governance frameworks designed around people, not just processes?<br /><br />Governments around the world are facing rising expectations to deliver services that are faster, fairer, and more responsive to citizens. This panel discussion covers how AI is reshaping public administration, from crisis response and digital identity to predictive service delivery and real-time policy feedback loops. The conversation aims to surface new models for embedding AI into governance frameworks that are transparent, inclusive, and designed around people, not just processes.<br /><br />Speakers<br />Carolin Wittmann (European Institute for Future Generations, Co-Founder)<br />H.E. Mohamed Bin Taliah (UAE Government, Chief of Government Services)<br />Joelle Pineau (Cohere, Chief AI Officer)<br />Thomas Pramotedham (Presight, CEO)<br /><br />Moderator<br />Lubna Bouza (Sky News Arabia TV, Head of Business News and Presenter)<br /><br />(c) AI House Davos 2026<br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></itunes:summary><itunes:duration>3416</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c46b711fa70c12913ccbc3646405496f.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI We Can Trust: Collective Systems for Global Safety | AI House Davos 2026</title><link>https://www.spreaker.com/episode/ai-we-can-trust-collective-systems-for-global-safety-ai-house-davos-2026--74882807</link><description><![CDATA[How do we turn AI governance principles into operational assurance at global scale? What systems and standards can ensure trustworthy AI across borders?<br /><br />AI is no longer just a technology, it's a global infrastructure shaping economies, societies, and innovation. To make it trustworthy at scale, we need shared systems that turn principles into practice. From certification schemes and audits to technical benchmarks, this panel examines how governance principles become operational assurance and how organizations like ISO, IEEE, the UN, and OECD are shaping globally coherent standards. Drawing lessons from climate and nuclear governance, the discussion tackles jurisdictional fragmentation while fostering innovation and competitiveness.<br /><br />Speakers<br />Agata Ferretti (IBM Research, AI Alliance Lead for Europe)<br />Andreas Krause (ETH Zürich, Professor and Chair, ETH AI Center)<br />Kirk Bresniker (HPE Labs, HPE Fellow, Vice President &amp; Chief Architect)<br />Silvio Dulinsky (ISO, Deputy Secretary-General)<br /><br />Moderator<br />Ayisha Piotti (RegHorizon, Managing Partner; ETH Zurich, Head AI Policy Summit)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partners:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460959</guid><pubDate>Wed, 21 Jan 2026 18:48:09 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882807/2095303612334460959.mp3" length="53198823" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>How do we turn AI governance principles into operational assurance at global scale? What systems and standards can ensure trustworthy AI across borders?

AI is no longer just a technology, it's a global infrastructure shaping economies, societies, and...</itunes:subtitle><itunes:summary><![CDATA[How do we turn AI governance principles into operational assurance at global scale? What systems and standards can ensure trustworthy AI across borders?<br /><br />AI is no longer just a technology, it's a global infrastructure shaping economies, societies, and innovation. To make it trustworthy at scale, we need shared systems that turn principles into practice. From certification schemes and audits to technical benchmarks, this panel examines how governance principles become operational assurance and how organizations like ISO, IEEE, the UN, and OECD are shaping globally coherent standards. Drawing lessons from climate and nuclear governance, the discussion tackles jurisdictional fragmentation while fostering innovation and competitiveness.<br /><br />Speakers<br />Agata Ferretti (IBM Research, AI Alliance Lead for Europe)<br />Andreas Krause (ETH Zürich, Professor and Chair, ETH AI Center)<br />Kirk Bresniker (HPE Labs, HPE Fellow, Vice President &amp; Chief Architect)<br />Silvio Dulinsky (ISO, Deputy Secretary-General)<br /><br />Moderator<br />Ayisha Piotti (RegHorizon, Managing Partner; ETH Zurich, Head AI Policy Summit)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partners:<br />KPMG]]></itunes:summary><itunes:duration>3325</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/71958697cbb9a08b8500c355b3859037.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>What Drives the Deal? AI and the New Logic of M&amp;A | AI House Davos 2026</title><link>https://www.spreaker.com/episode/what-drives-the-deal-ai-and-the-new-logic-of-m-a-ai-house-davos-2026--74882752</link><description><![CDATA[How is AI reshaping M&amp;A strategy, valuation, and risk? Are AI capabilities becoming premium assets or standard operating baseline?<br /><br />AI is becoming a game-changer in M&amp;A, reshaping why deals happen, how targets are valued, and which industries will evolve next. This session challenges traditional assumptions and explores the future of deal-making. How is AI redefining what companies seek to acquire—is the motive shifting toward securing talent and technology, or adapting to new business models as existing ones mature? How should deal teams think about valuing AI capabilities? Do acquisitions of AI-intensive businesses introduce new types of risk, or simply amplify familiar integration challenges?<br /><br />Speakers<br />Eva Scherer (Daimler Truck, CFO and Member of the Board of Management)<br />Alexander Mayer (J.P. Morgan, Head of Germany &amp; Austria – Senior Country Officer)<br />Dagmar Mundani (Siemens, Corporate Vice President – Mergers, Acquisitions, Post Closing and Government Engagement)<br /><br />Moderator<br />Holger Kneisel (KPMG Germany, Head of Advisory)<br /><br />(c) AI House Davos 2026<br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460979</guid><pubDate>Wed, 21 Jan 2026 18:19:04 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882752/2095303612334460979.mp3" length="48236812" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>How is AI reshaping M&amp;amp;A strategy, valuation, and risk? Are AI capabilities becoming premium assets or standard operating baseline?

AI is becoming a game-changer in M&amp;amp;A, reshaping why deals happen, how targets are valued, and which industries...</itunes:subtitle><itunes:summary><![CDATA[How is AI reshaping M&amp;A strategy, valuation, and risk? Are AI capabilities becoming premium assets or standard operating baseline?<br /><br />AI is becoming a game-changer in M&amp;A, reshaping why deals happen, how targets are valued, and which industries will evolve next. This session challenges traditional assumptions and explores the future of deal-making. How is AI redefining what companies seek to acquire—is the motive shifting toward securing talent and technology, or adapting to new business models as existing ones mature? How should deal teams think about valuing AI capabilities? Do acquisitions of AI-intensive businesses introduce new types of risk, or simply amplify familiar integration challenges?<br /><br />Speakers<br />Eva Scherer (Daimler Truck, CFO and Member of the Board of Management)<br />Alexander Mayer (J.P. Morgan, Head of Germany &amp; Austria – Senior Country Officer)<br />Dagmar Mundani (Siemens, Corporate Vice President – Mergers, Acquisitions, Post Closing and Government Engagement)<br /><br />Moderator<br />Holger Kneisel (KPMG Germany, Head of Advisory)<br /><br />(c) AI House Davos 2026<br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></itunes:summary><itunes:duration>3015</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/0e2db9c85a03fafc3dcb56d9758babcb.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Great Rewiring:AI, Industry, and the Architecture of Global Resilience | AI House Davos 2026</title><link>https://www.spreaker.com/episode/the-great-rewiring-ai-industry-and-the-architecture-of-global-resilience-ai-house-davos-2026--74882772</link><description><![CDATA[How is AI reshaping the global industrial map? Who will lead and who will fall behind as nations diverge into producers, consumers, and coordinators of intelligence?<br /><br />As AI rewires the architecture of the global economy, nations and industries are diverging into producers of intelligence, consumers of AI, and coordination hubs. This shift is reshaping GDP trajectories, productivity frontiers, and the distribution of economic power. Organizations that recognize this transformation early will build systems that sense market changes, adapt operations, and evolve offerings in real time. With progress now measured in months rather than years, this panel examines how the global industrial map is being redrawn, how power is being redistributed, and what resilience demands in an era defined by adaptive, intelligence-driven competition.<br /><br />Speakers<br />Mallik Rao (Telefonica Germany, CTEO)<br />Pravina Ladva (Swiss Re, Group Chief Digital &amp; Technology Officer)<br /><br />Moderator<br />Nicole Büttner (Merantix Momentum, Founder and CEO)<br /><br />(c) AI House Davos 2026<br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partners:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460930</guid><pubDate>Wed, 21 Jan 2026 17:56:38 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882772/2095303612334460930.mp3" length="52970618" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>How is AI reshaping the global industrial map? Who will lead and who will fall behind as nations diverge into producers, consumers, and coordinators of intelligence?

As AI rewires the architecture of the global economy, nations and industries are...</itunes:subtitle><itunes:summary><![CDATA[How is AI reshaping the global industrial map? Who will lead and who will fall behind as nations diverge into producers, consumers, and coordinators of intelligence?<br /><br />As AI rewires the architecture of the global economy, nations and industries are diverging into producers of intelligence, consumers of AI, and coordination hubs. This shift is reshaping GDP trajectories, productivity frontiers, and the distribution of economic power. Organizations that recognize this transformation early will build systems that sense market changes, adapt operations, and evolve offerings in real time. With progress now measured in months rather than years, this panel examines how the global industrial map is being redrawn, how power is being redistributed, and what resilience demands in an era defined by adaptive, intelligence-driven competition.<br /><br />Speakers<br />Mallik Rao (Telefonica Germany, CTEO)<br />Pravina Ladva (Swiss Re, Group Chief Digital &amp; Technology Officer)<br /><br />Moderator<br />Nicole Büttner (Merantix Momentum, Founder and CEO)<br /><br />(c) AI House Davos 2026<br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partners:<br />KPMG]]></itunes:summary><itunes:duration>3311</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/e520d2c8561d33c7b6d71f107dc36bc1.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Unlocking AI’s Potential to Serve Humanity | AI House Davos 2026</title><link>https://www.spreaker.com/episode/unlocking-ai-s-potential-to-serve-humanity-ai-house-davos-2026--74882819</link><description><![CDATA[How can AI advance human and planetary well-being across health, education, climate action, and disaster response?<br /><br />This fireside chat marks the launch of an AI for Good flagship report, featuring a high-level conversation on how artificial intelligence can advance human and planetary well-being. The discussion explores the role of AI across key global priority areas, including health, education, climate action, and disaster response. Building on the report's findings, the exchange touches on AI applications in robotics, geospatial analysis, and communications networks, alongside the policy and governance considerations they raise.<br /><br />Speakers<br />Bolor-Erdene Battsengel (AI Academy Asia, CEO)<br />Doreen Bogdan-Martin (International Telecommunication Union, Secretary-General)<br />Tshilidzi Marwala (United Nations University, Rector)<br />will.i.am (Goodwill Ambassador, AI Skills Coalition, Musician, tech founder and philanthropist)<br /><br />(c) AI House Davos 2026<br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460931</guid><pubDate>Wed, 21 Jan 2026 17:30:24 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882819/2095303612334460931.mp3" length="44603493" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>How can AI advance human and planetary well-being across health, education, climate action, and disaster response?

This fireside chat marks the launch of an AI for Good flagship report, featuring a high-level conversation on how artificial...</itunes:subtitle><itunes:summary><![CDATA[How can AI advance human and planetary well-being across health, education, climate action, and disaster response?<br /><br />This fireside chat marks the launch of an AI for Good flagship report, featuring a high-level conversation on how artificial intelligence can advance human and planetary well-being. The discussion explores the role of AI across key global priority areas, including health, education, climate action, and disaster response. Building on the report's findings, the exchange touches on AI applications in robotics, geospatial analysis, and communications networks, alongside the policy and governance considerations they raise.<br /><br />Speakers<br />Bolor-Erdene Battsengel (AI Academy Asia, CEO)<br />Doreen Bogdan-Martin (International Telecommunication Union, Secretary-General)<br />Tshilidzi Marwala (United Nations University, Rector)<br />will.i.am (Goodwill Ambassador, AI Skills Coalition, Musician, tech founder and philanthropist)<br /><br />(c) AI House Davos 2026<br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></itunes:summary><itunes:duration>2788</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/439c322ada1881ba18a50c737859a51b.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>A Matter of Life and Death: AI in Military Decision-Making | AI House Davos 2026</title><link>https://www.spreaker.com/episode/a-matter-of-life-and-death-ai-in-military-decision-making-ai-house-davos-2026--74882817</link><description><![CDATA[When AI systems support life-and-death military decisions, who remains in control? How do we ensure these technologies minimize harm in armed conflict?<br /><br />Defense organisations and military actors are increasingly using complex forms of artificial intelligence-based decision-support systems, including in combat operations. This development may offer operational and humanitarian benefits, but it also raises fundamental concerns about the potential loss of human control over the use of force and the significant legal, humanitarian, and ethical risks that follow. This panel will discuss how these systems are used and how to ensure they minimize harm and increase protection for people affected by armed conflict.<br /><br />Speakers<br />Alain Berset (Council of Europe, Secretary General)<br />Jean-Marc Rickli (Geneva Centre for Security Policy (GCSP), Head of Global and Emerging Risk)<br />Isabel Ebert (UN Human Rights, Lead B-Tech Project)<br />Kenneth Cukier (The Economist, Deputy Executive Editor)<br />Laurent Gisel (International Committee of the Red Cross, Head of the Arms and Conduct of Hostilities Unit at the Legal Division)<br /><br />Moderator<br />Gilles Carbonnier (International Committee of the Red Cross, Vice President)<br /><br />(c) AI House Davos 2026<br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460943</guid><pubDate>Tue, 20 Jan 2026 19:33:06 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882817/2095303612334460943.mp3" length="53959091" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>When AI systems support life-and-death military decisions, who remains in control? How do we ensure these technologies minimize harm in armed conflict?

Defense organisations and military actors are increasingly using complex forms of artificial...</itunes:subtitle><itunes:summary><![CDATA[When AI systems support life-and-death military decisions, who remains in control? How do we ensure these technologies minimize harm in armed conflict?<br /><br />Defense organisations and military actors are increasingly using complex forms of artificial intelligence-based decision-support systems, including in combat operations. This development may offer operational and humanitarian benefits, but it also raises fundamental concerns about the potential loss of human control over the use of force and the significant legal, humanitarian, and ethical risks that follow. This panel will discuss how these systems are used and how to ensure they minimize harm and increase protection for people affected by armed conflict.<br /><br />Speakers<br />Alain Berset (Council of Europe, Secretary General)<br />Jean-Marc Rickli (Geneva Centre for Security Policy (GCSP), Head of Global and Emerging Risk)<br />Isabel Ebert (UN Human Rights, Lead B-Tech Project)<br />Kenneth Cukier (The Economist, Deputy Executive Editor)<br />Laurent Gisel (International Committee of the Red Cross, Head of the Arms and Conduct of Hostilities Unit at the Legal Division)<br /><br />Moderator<br />Gilles Carbonnier (International Committee of the Red Cross, Vice President)<br /><br />(c) AI House Davos 2026<br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></itunes:summary><itunes:duration>3373</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c56e275e7fa415ac57f2aa1ffae2ceb3.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Protecting What’s Human: Creativity and Identity in the Age of Deepfakes | AI House Davos 2026</title><link>https://www.spreaker.com/episode/protecting-what-s-human-creativity-and-identity-in-the-age-of-deepfakes-ai-house-davos-2026--74882830</link><description><![CDATA[Your face. Your voice. Your creativity. Now anyone can copy them. How do we stay human in the age of deepfakes and AI-generated content?<br /><br />Deepfakes, AI slop, and viral impersonations are rewriting identity and eroding trust, but AI also unlocks new ways to create, remix, and express ourselves. This panel asks: how do we stay human, protect our digital selves, and harness AI's creative power without sacrificing our individuality, agency, and the very essence of self-expression? From emerging digital rights to new frameworks for creative freedom, the conversation explores how to ensure our faces, voices, and ideas remain distinctly human, yet amplified by AI's creative potential.<br /><br />Speakers<br />Mat Honan (MIT Technology Review, Editor in Chief)<br />Duncan Crabtree-Ireland (SAG-AFTRA, National Executive Director and Chief Negotiator)<br />Emi Kusano (Fictionera, Multidisciplinary Artist)<br /><br />Moderator<br />Nicholas Thompson (The Atlantic, CEO)<br /><br />(c) AI House Davos 2026<br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460951</guid><pubDate>Tue, 20 Jan 2026 19:13:55 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882830/2095303612334460951.mp3" length="54115826" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Your face. Your voice. Your creativity. Now anyone can copy them. How do we stay human in the age of deepfakes and AI-generated content?

Deepfakes, AI slop, and viral impersonations are rewriting identity and eroding trust, but AI also unlocks new...</itunes:subtitle><itunes:summary><![CDATA[Your face. Your voice. Your creativity. Now anyone can copy them. How do we stay human in the age of deepfakes and AI-generated content?<br /><br />Deepfakes, AI slop, and viral impersonations are rewriting identity and eroding trust, but AI also unlocks new ways to create, remix, and express ourselves. This panel asks: how do we stay human, protect our digital selves, and harness AI's creative power without sacrificing our individuality, agency, and the very essence of self-expression? From emerging digital rights to new frameworks for creative freedom, the conversation explores how to ensure our faces, voices, and ideas remain distinctly human, yet amplified by AI's creative potential.<br /><br />Speakers<br />Mat Honan (MIT Technology Review, Editor in Chief)<br />Duncan Crabtree-Ireland (SAG-AFTRA, National Executive Director and Chief Negotiator)<br />Emi Kusano (Fictionera, Multidisciplinary Artist)<br /><br />Moderator<br />Nicholas Thompson (The Atlantic, CEO)<br /><br />(c) AI House Davos 2026<br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></itunes:summary><itunes:duration>3383</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/d30111afb165ea64a887bf0d2b60495b.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Open-Source AI: Advancing a Human-Centered Intelligence Frontier | AI House Davos 2026</title><link>https://www.spreaker.com/episode/open-source-ai-advancing-a-human-centered-intelligence-frontier-ai-house-davos-2026--74882759</link><description><![CDATA[Is open-source AI empowering people, or passing responsibility without the support to handle it? How do we build strong open models while ensuring safety and sustainability?<br /><br />Open-source AI is reshaping who can build, study, and deploy powerful models. This panel examines the real forces guiding model releases: economic incentives, technical limits, community norms, and societal expectations. Is openness ultimately a safety feature, or a safety challenge that must be actively designed for? The discussion explores emerging strategies for building strong open foundation models and what it takes to sustain open research in a world increasingly dominated by proprietary systems.<br /><br />Speakers<br />Marcel Salathé (EPFL AI Center, Professor EPFL, Co-Director)<br />Rod Beckstrom (Investor, Author, Tech CEO, Geopolitician)<br />Yejin Choi (Stanford HAI, Dieter Schwarz Professor &amp; Senior Fellow)<br /><br />Moderator<br />Daniel Dobos (AI for Good, Steering Committee Co-Chair)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460932</guid><pubDate>Tue, 20 Jan 2026 14:22:45 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882759/2095303612334460932.mp3" length="52028956" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Is open-source AI empowering people, or passing responsibility without the support to handle it? How do we build strong open models while ensuring safety and sustainability?

Open-source AI is reshaping who can build, study, and deploy powerful...</itunes:subtitle><itunes:summary><![CDATA[Is open-source AI empowering people, or passing responsibility without the support to handle it? How do we build strong open models while ensuring safety and sustainability?<br /><br />Open-source AI is reshaping who can build, study, and deploy powerful models. This panel examines the real forces guiding model releases: economic incentives, technical limits, community norms, and societal expectations. Is openness ultimately a safety feature, or a safety challenge that must be actively designed for? The discussion explores emerging strategies for building strong open foundation models and what it takes to sustain open research in a world increasingly dominated by proprietary systems.<br /><br />Speakers<br />Marcel Salathé (EPFL AI Center, Professor EPFL, Co-Director)<br />Rod Beckstrom (Investor, Author, Tech CEO, Geopolitician)<br />Yejin Choi (Stanford HAI, Dieter Schwarz Professor &amp; Senior Fellow)<br /><br />Moderator<br />Daniel Dobos (AI for Good, Steering Committee Co-Chair)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></itunes:summary><itunes:duration>3252</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a231a59c27898146caaf2655f7bb8745.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>From Early Adoption to AI-Native Societies: The Next Era of Intelligence | AI House Davos 2026</title><link>https://www.spreaker.com/episode/from-early-adoption-to-ai-native-societies-the-next-era-of-intelligence-ai-house-davos-2026--74882765</link><description><![CDATA[What does it mean to become an AI-native society? How do nations evolve from early adoption to full integration of intelligence into governance, education, and infrastructure?<br /><br />As AI becomes foundational to public systems, some nations are evolving into fully AI-native societies. This panel explores how policy, identity, and civic infrastructure are being reimagined around intelligent technologies. The discussion examines the interplay between state capacity and frontier technologies, and how nations are positioning themselves not just as adopters of AI, but as architects of a new socio-technical contract.<br /><br />Speakers<br />Chris Lehane (OpenAI, Chief Global Affairs Officer)<br />Kay Firth Butterfield (Good Tech Advisory, CEO)<br />William Fedus (Periodic Labs, Co-Founder)<br />Andrew Jackson (G42, Chief AI Officer)<br /><br />Moderator<br />Baroness Joanna Shields (Responsible AI Future Foundation, Executive Chair)<br /><br />(c) AI House Davos 2026<br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460945</guid><pubDate>Tue, 20 Jan 2026 11:54:48 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882765/2095303612334460945.mp3" length="49927039" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>What does it mean to become an AI-native society? How do nations evolve from early adoption to full integration of intelligence into governance, education, and infrastructure?

As AI becomes foundational to public systems, some nations are evolving...</itunes:subtitle><itunes:summary><![CDATA[What does it mean to become an AI-native society? How do nations evolve from early adoption to full integration of intelligence into governance, education, and infrastructure?<br /><br />As AI becomes foundational to public systems, some nations are evolving into fully AI-native societies. This panel explores how policy, identity, and civic infrastructure are being reimagined around intelligent technologies. The discussion examines the interplay between state capacity and frontier technologies, and how nations are positioning themselves not just as adopters of AI, but as architects of a new socio-technical contract.<br /><br />Speakers<br />Chris Lehane (OpenAI, Chief Global Affairs Officer)<br />Kay Firth Butterfield (Good Tech Advisory, CEO)<br />William Fedus (Periodic Labs, Co-Founder)<br />Andrew Jackson (G42, Chief AI Officer)<br /><br />Moderator<br />Baroness Joanna Shields (Responsible AI Future Foundation, Executive Chair)<br /><br />(c) AI House Davos 2026<br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></itunes:summary><itunes:duration>3121</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/d8ba88e8941c022aed5eba7f37cdaadb.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Designing for Collaboration, Participation and Futures Inspired by Art | AI House Davos 2026</title><link>https://www.spreaker.com/episode/designing-for-collaboration-participation-and-futures-inspired-by-art-ai-house-davos-2026--74882824</link><description><![CDATA[How do we design AI systems that include diverse voices and futures? What role can art and participatory design play in shaping more ethical and inclusive intelligence?<br /><br />This panel examines how design as a collaborative and anticipatory practice can guide AI toward more inclusive and ethically grounded directions. Drawing on perspectives from governance, human-centered innovation, and design futures, the discussion explores how participatory and co-creative approaches can expand who takes part in shaping AI systems and whose futures they serve by linking ethics, creativity, and collaboration.<br /><br />Speakers<br />Teruo Fujii (President, University of Tokyo)<br />Miles Pennington (Dean (Prospective), College of Design, University of Tokyo)<br />Primavera De Filippi (Research Director, Centre National de la Recherche Scientifique (CNRS) and Alien Intelligence)<br />Sharon Prince (CEO, Grace Farms Foundation)<br /><br />Moderator<br />Ai Hisano (Associate Professor, Graduate School of Interdisciplinary Information Studies, University of Tokyo)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460941</guid><pubDate>Tue, 20 Jan 2026 10:18:01 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882824/2095303612334460941.mp3" length="52859858" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>How do we design AI systems that include diverse voices and futures? What role can art and participatory design play in shaping more ethical and inclusive intelligence?

This panel examines how design as a collaborative and anticipatory practice can...</itunes:subtitle><itunes:summary><![CDATA[How do we design AI systems that include diverse voices and futures? What role can art and participatory design play in shaping more ethical and inclusive intelligence?<br /><br />This panel examines how design as a collaborative and anticipatory practice can guide AI toward more inclusive and ethically grounded directions. Drawing on perspectives from governance, human-centered innovation, and design futures, the discussion explores how participatory and co-creative approaches can expand who takes part in shaping AI systems and whose futures they serve by linking ethics, creativity, and collaboration.<br /><br />Speakers<br />Teruo Fujii (President, University of Tokyo)<br />Miles Pennington (Dean (Prospective), College of Design, University of Tokyo)<br />Primavera De Filippi (Research Director, Centre National de la Recherche Scientifique (CNRS) and Alien Intelligence)<br />Sharon Prince (CEO, Grace Farms Foundation)<br /><br />Moderator<br />Ai Hisano (Associate Professor, Graduate School of Interdisciplinary Information Studies, University of Tokyo)<br /><br />(c) AI House Davos 2026 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo<br /><br />Presenting Partner:<br />KPMG]]></itunes:summary><itunes:duration>3304</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/d804b7d2a48c7a3f8b25827ccbed67b5.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Agentic Autonomous Economies: Building Infrastructure for AI Coordination with Davide Crapis</title><link>https://www.spreaker.com/episode/agentic-autonomous-economies-building-infrastructure-for-ai-coordination-with-davide-crapis--74882735</link><description><![CDATA[Davide Crapis, Head of AI at the Ethereum Foundation, discusses how autonomous AI agents are creating new digital economies where machines transact and coordinate at scale. He explores the trustless protocols his team is developing, enabling micro-payments, service discovery, and reputation systems, and shares insights on ensuring this emerging economic layer remains both technically verifiable and socially beneficial.<br /><br />Speaker<br />Davide Crapis (Head of AI, Ethereum Foundation)<br /><br />Moderator<br />Louisa Hillegaart (Founder's Associate, AI House Davos)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, The University of Tokyo<br /><br />0:00 Introduction: The rise of agentic economies<br />1:12 The dAI Team's work at Ethereum Foundation<br />2:01 Current state of autonomous agents and infrastructure<br />4:25 Systemic risks and lessons from DeFi automation<br />6:48 Security at machine speed and defensive AI<br />8:27 Coordination mechanisms without centralization<br />12:18 Primitives: Payments, discovery, trust, and reputation<br />14:27 Commerce protocols and privacy-preserving negotiation<br />16:19 Ethereum vs. communication protocols (MCP, A2A)<br />18:25 Bridging blockchain, AI, and society<br />21:26 Closing remarks]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460975</guid><pubDate>Wed, 10 Dec 2025 10:40:26 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882735/2095303612334460975.mp3" length="20824541" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Davide Crapis, Head of AI at the Ethereum Foundation, discusses how autonomous AI agents are creating new digital economies where machines transact and coordinate at scale. He explores the trustless protocols his team is developing, enabling...</itunes:subtitle><itunes:summary><![CDATA[Davide Crapis, Head of AI at the Ethereum Foundation, discusses how autonomous AI agents are creating new digital economies where machines transact and coordinate at scale. He explores the trustless protocols his team is developing, enabling micro-payments, service discovery, and reputation systems, and shares insights on ensuring this emerging economic layer remains both technically verifiable and socially beneficial.<br /><br />Speaker<br />Davide Crapis (Head of AI, Ethereum Foundation)<br /><br />Moderator<br />Louisa Hillegaart (Founder's Associate, AI House Davos)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, The University of Tokyo<br /><br />0:00 Introduction: The rise of agentic economies<br />1:12 The dAI Team's work at Ethereum Foundation<br />2:01 Current state of autonomous agents and infrastructure<br />4:25 Systemic risks and lessons from DeFi automation<br />6:48 Security at machine speed and defensive AI<br />8:27 Coordination mechanisms without centralization<br />12:18 Primitives: Payments, discovery, trust, and reputation<br />14:27 Commerce protocols and privacy-preserving negotiation<br />16:19 Ethereum vs. communication protocols (MCP, A2A)<br />18:25 Bridging blockchain, AI, and society<br />21:26 Closing remarks]]></itunes:summary><itunes:duration>1302</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/b055bac7b96155acb15ea7c9b7c162eb.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Beyond the Brain: Michael Levin on Living Intelligence &amp; Minds in the era of AI</title><link>https://www.spreaker.com/episode/beyond-the-brain-michael-levin-on-living-intelligence-minds-in-the-era-of-ai--74882734</link><description><![CDATA[A conversation co-published by AI House Davos and Michael Levin's Academic Content (@drmichaellevin )<br /><br />In this conversation, we explore how intelligence exists across all scales of life, from cells to collectives, and what this means for our understanding of AI, minds, and what it means to be human.<br /><br />Professor Michael Levin challenges the assumption that intelligence begins with brains, revealing how biological systems improvise, adapt, and solve problems in ways that go far beyond what our computational architectures attempt. From cognitive glue to the ethics of diverse intelligence, this interview questions the categories we've inherited and asks what truly matters as we enter an era of radically different embodiments.<br /><br />Speaker<br />Michael Levin (Director at Allen Discovery Center at Tufts University)<br /><br />Moderator<br />Louisa Hillegaart (Founder's Associate, AI House Davos)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, The University of Tokyo<br /><br />0:00 Introduction &amp; Michael Levin's background<br />0:42 Research focus: embodied minds across scales<br />2:04 Defining intelligence beyond the brain<br />5:47 Communicating with unconventional intelligences<br />8:33 Why neuroscience is not really about neurons<br />12:04 Biology vs AI: improvisation vs error correction<br />15:28 What AGI means &amp; advice for the next generation<br />20:19 Paradigms we need to rethink over the next 50 years]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460955</guid><pubDate>Wed, 03 Dec 2025 10:32:51 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882734/2095303612334460955.mp3" length="24075427" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>A conversation co-published by AI House Davos and Michael Levin's Academic Content (@drmichaellevin )

In this conversation, we explore how intelligence exists across all scales of life, from cells to collectives, and what this means for our...</itunes:subtitle><itunes:summary><![CDATA[A conversation co-published by AI House Davos and Michael Levin's Academic Content (@drmichaellevin )<br /><br />In this conversation, we explore how intelligence exists across all scales of life, from cells to collectives, and what this means for our understanding of AI, minds, and what it means to be human.<br /><br />Professor Michael Levin challenges the assumption that intelligence begins with brains, revealing how biological systems improvise, adapt, and solve problems in ways that go far beyond what our computational architectures attempt. From cognitive glue to the ethics of diverse intelligence, this interview questions the categories we've inherited and asks what truly matters as we enter an era of radically different embodiments.<br /><br />Speaker<br />Michael Levin (Director at Allen Discovery Center at Tufts University)<br /><br />Moderator<br />Louisa Hillegaart (Founder's Associate, AI House Davos)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, The University of Tokyo<br /><br />0:00 Introduction &amp; Michael Levin's background<br />0:42 Research focus: embodied minds across scales<br />2:04 Defining intelligence beyond the brain<br />5:47 Communicating with unconventional intelligences<br />8:33 Why neuroscience is not really about neurons<br />12:04 Biology vs AI: improvisation vs error correction<br />15:28 What AGI means &amp; advice for the next generation<br />20:19 Paradigms we need to rethink over the next 50 years]]></itunes:summary><itunes:duration>1505</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/6efcb2cb0a8711a5b8ee29b9afcca092.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Human Advantage in the Age of AI, Gideon Lichfield | AI House Davos</title><link>https://www.spreaker.com/episode/the-human-advantage-in-the-age-of-ai-gideon-lichfield-ai-house-davos--74882742</link><description><![CDATA[In this conversation, we unpack how AI is transforming work, information ecosystems, and public infrastructure, and why human qualities like curiosity, compassion, and strategic thinking remain essential. <br />From debunking AI hype to imagining civic-minded models, this interview highlights why the future still belongs to people.<br /><br />Speaker<br />Gideon Lichfield (Allen Lab Policy Fellow, Harvard Ash Center for Democratic Governance and Innovation)<br /><br />Moderator<br />Louisa Hillegaart (Founder's Associate, AI House Davos)<br /><br />(c) AI House Davos <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, The University of Tokyo<br /><br />0:00 Introduction &amp; Gideon’s background<br />0:24 From global reporting to leading AI journalism<br />1:14 The biggest misconceptions about AI<br />1:57 The myth of superintelligence &amp; why it persists<br />3:34 What the media gets wrong about AI adoption<br />5:41 Trends reshaping Gideon’s thinking about AI<br />7:04 Public AI: defining AI as public infrastructure<br />10:30 Human skills that matter most in the age of AI]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460964</guid><pubDate>Wed, 26 Nov 2025 10:11:27 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882742/2095303612334460964.mp3" length="16802938" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>In this conversation, we unpack how AI is transforming work, information ecosystems, and public infrastructure, and why human qualities like curiosity, compassion, and strategic thinking remain essential. 
From debunking AI hype to imagining...</itunes:subtitle><itunes:summary><![CDATA[In this conversation, we unpack how AI is transforming work, information ecosystems, and public infrastructure, and why human qualities like curiosity, compassion, and strategic thinking remain essential. <br />From debunking AI hype to imagining civic-minded models, this interview highlights why the future still belongs to people.<br /><br />Speaker<br />Gideon Lichfield (Allen Lab Policy Fellow, Harvard Ash Center for Democratic Governance and Innovation)<br /><br />Moderator<br />Louisa Hillegaart (Founder's Associate, AI House Davos)<br /><br />(c) AI House Davos <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, The University of Tokyo<br /><br />0:00 Introduction &amp; Gideon’s background<br />0:24 From global reporting to leading AI journalism<br />1:14 The biggest misconceptions about AI<br />1:57 The myth of superintelligence &amp; why it persists<br />3:34 What the media gets wrong about AI adoption<br />5:41 Trends reshaping Gideon’s thinking about AI<br />7:04 Public AI: defining AI as public infrastructure<br />10:30 Human skills that matter most in the age of AI]]></itunes:summary><itunes:duration>1051</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/b3d48db853acfaaf8540807bbdf3b95d.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Beyond Borders: Keeping AI Talents Local, Making AI Impact Global | AI House Davos 2025</title><link>https://www.spreaker.com/episode/beyond-borders-keeping-ai-talents-local-making-ai-impact-global-ai-house-davos-2025--74882785</link><description><![CDATA[This panel will explore how nations recognized for their exceptional engineering and development talent can strengthen their local AI ecosystems to achieve global impact.<br /><br />We’ll discuss how this highly sought-after talent, often recruited by international tech giants, has the potential to drive groundbreaking innovations with worldwide benefits.<br /><br />Speakers<br />Jarosław Królewski (CEO &amp; Founder, Synerise)<br />Adam Niewiński (Co-founder &amp; Managing Partner, OTB Ventures)<br />Anna Topol (CTO, IBM Research)<br />Marta Kwiatkowska (Professor, Univeristy of Oxford)<br /><br />Moderator<br />Piotr Sankowski<br />Professor, University of Warsaw<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460939</guid><pubDate>Sat, 25 Jan 2025 10:47:35 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882785/2095303612334460939.mp3" length="53771010" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>This panel will explore how nations recognized for their exceptional engineering and development talent can strengthen their local AI ecosystems to achieve global impact.

We’ll discuss how this highly sought-after talent, often recruited by...</itunes:subtitle><itunes:summary><![CDATA[This panel will explore how nations recognized for their exceptional engineering and development talent can strengthen their local AI ecosystems to achieve global impact.<br /><br />We’ll discuss how this highly sought-after talent, often recruited by international tech giants, has the potential to drive groundbreaking innovations with worldwide benefits.<br /><br />Speakers<br />Jarosław Królewski (CEO &amp; Founder, Synerise)<br />Adam Niewiński (Co-founder &amp; Managing Partner, OTB Ventures)<br />Anna Topol (CTO, IBM Research)<br />Marta Kwiatkowska (Professor, Univeristy of Oxford)<br /><br />Moderator<br />Piotr Sankowski<br />Professor, University of Warsaw<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3361</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/5fc2fb640c0dd7e757f9fbb79f59e4b3.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Smart, Safe, Sustainable: The AI Powered City | AI House Davos 2025</title><link>https://www.spreaker.com/episode/smart-safe-sustainable-the-ai-powered-city-ai-house-davos-2025--74882806</link><description><![CDATA[This panel delves into how a globally integrated AI ecosystem can revolutionize smart cities by enhancing efficiency, sustainability, and citizen well-being. Experts from tech, policy, and urban planning will discuss AI's role in resource management, environmental impact, and critical services like traffic and energy. With a focus on transparency, trust, and ethical AI, the session will outline actionable steps for building smarter, safer, and more inclusive cities.<br /><br />Speakers<br />Thomas Pramotedham (Presight, CEO)<br />Juan Lavista Ferres (Microsoft AI For Good Research Lab, Chief Scientist and Lab Director)<br />Guillem Martínez Roura (International Telecommunications Union (ITU), AI and Robotics Programme Officer)<br />Anna Gawlikowska (SwissAI, Chief Executive Officer)<br /><br />Moderator<br />Mina Al-Oraibi (The National, Editor-in-Chief)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460944</guid><pubDate>Sat, 25 Jan 2025 10:32:15 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882806/2095303612334460944.mp3" length="54499930" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>This panel delves into how a globally integrated AI ecosystem can revolutionize smart cities by enhancing efficiency, sustainability, and citizen well-being. Experts from tech, policy, and urban planning will discuss AI's role in resource management,...</itunes:subtitle><itunes:summary><![CDATA[This panel delves into how a globally integrated AI ecosystem can revolutionize smart cities by enhancing efficiency, sustainability, and citizen well-being. Experts from tech, policy, and urban planning will discuss AI's role in resource management, environmental impact, and critical services like traffic and energy. With a focus on transparency, trust, and ethical AI, the session will outline actionable steps for building smarter, safer, and more inclusive cities.<br /><br />Speakers<br />Thomas Pramotedham (Presight, CEO)<br />Juan Lavista Ferres (Microsoft AI For Good Research Lab, Chief Scientist and Lab Director)<br />Guillem Martínez Roura (International Telecommunications Union (ITU), AI and Robotics Programme Officer)<br />Anna Gawlikowska (SwissAI, Chief Executive Officer)<br /><br />Moderator<br />Mina Al-Oraibi (The National, Editor-in-Chief)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3407</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/9efa28d91799e6750352d3b983ecba61.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Can We Resolve the Paradox of Sustainable AI? | AI House Davos 2025</title><link>https://www.spreaker.com/episode/can-we-resolve-the-paradox-of-sustainable-ai-ai-house-davos-2025--74882740</link><description><![CDATA[The adoption of AI comes with a large energy consumption challenge. The massive compute power required to run AI applications puts a heavy strain on resources and costs and, in the near term, risks exacerbating the climate crisis.<br /><br />Geopolitical factors are also creating energy challenges in certain parts of the world, making it even more difficult to adopt AI.<br /><br />This panel will explore holistic strategies – from reimagining data centers to establishing future-proof initiatives with a collaborative, whole-society approach – to reduce the carbon intensity of AI deployments and build a more sustainable world.<br /><br />Speakers<br />Monica Batchelder (Chief Sustainability Officer, Hewlett Packard Enterprise)<br />Ann Dunkin (Former CIO, US Department of Energy)<br />Melanie Nakagawa (Corporate Vice President and Chief Sustainability Officer at Microsoft)<br />Cully Cavness (Co-Founder, President, and COO of Crusoe)<br /><br />Moderator<br />Kirk Bresniker (Hewlett Packard Labs Chief Architect / HPE Fellow/VP at Hewlett Packard Enterprise)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460949</guid><pubDate>Sat, 25 Jan 2025 10:32:08 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882740/2095303612334460949.mp3" length="51697932" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>The adoption of AI comes with a large energy consumption challenge. The massive compute power required to run AI applications puts a heavy strain on resources and costs and, in the near term, risks exacerbating the climate crisis.

Geopolitical...</itunes:subtitle><itunes:summary><![CDATA[The adoption of AI comes with a large energy consumption challenge. The massive compute power required to run AI applications puts a heavy strain on resources and costs and, in the near term, risks exacerbating the climate crisis.<br /><br />Geopolitical factors are also creating energy challenges in certain parts of the world, making it even more difficult to adopt AI.<br /><br />This panel will explore holistic strategies – from reimagining data centers to establishing future-proof initiatives with a collaborative, whole-society approach – to reduce the carbon intensity of AI deployments and build a more sustainable world.<br /><br />Speakers<br />Monica Batchelder (Chief Sustainability Officer, Hewlett Packard Enterprise)<br />Ann Dunkin (Former CIO, US Department of Energy)<br />Melanie Nakagawa (Corporate Vice President and Chief Sustainability Officer at Microsoft)<br />Cully Cavness (Co-Founder, President, and COO of Crusoe)<br /><br />Moderator<br />Kirk Bresniker (Hewlett Packard Labs Chief Architect / HPE Fellow/VP at Hewlett Packard Enterprise)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3232</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/fff9148b364355843b8afc17aa021cb5.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The AI Journey: Empowering SMEs to Thrive in the Digital Age | AI House Davos 2025</title><link>https://www.spreaker.com/episode/the-ai-journey-empowering-smes-to-thrive-in-the-digital-age-ai-house-davos-2025--74882768</link><description><![CDATA[In this panel discussion, experts from academia and industry will share valuable insights and first-hand experiences on how to address AI-related barriers, to drive AI adoption to increase productivity, and to empower SMEs to navigate their AI journey successfully in the digital age.<br /><br />Speakers<br />Gunther Wobser (President and CEO of LAUDA)<br />Timo Gessmann (CTO, Schunk)<br />Rüdiger Eichin (VP SAP SE &amp; Director Steinbeis i2e)<br />James Landay (Co-Director of the Stanford Institute for Human-Centered Artificial Intelligence)<br />Helmut Krcmar (Founding Dean TUM Campus Heilbronn, TUM Emeritus of Excellence KrcmarLab)<br /><br />Moderator<br />Sarah Schwab-Jung (Head of Managing Office, TUM Campus Heilbronn)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460967</guid><pubDate>Fri, 24 Jan 2025 15:52:09 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882768/2095303612334460967.mp3" length="51529912" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>In this panel discussion, experts from academia and industry will share valuable insights and first-hand experiences on how to address AI-related barriers, to drive AI adoption to increase productivity, and to empower SMEs to navigate their AI journey...</itunes:subtitle><itunes:summary><![CDATA[In this panel discussion, experts from academia and industry will share valuable insights and first-hand experiences on how to address AI-related barriers, to drive AI adoption to increase productivity, and to empower SMEs to navigate their AI journey successfully in the digital age.<br /><br />Speakers<br />Gunther Wobser (President and CEO of LAUDA)<br />Timo Gessmann (CTO, Schunk)<br />Rüdiger Eichin (VP SAP SE &amp; Director Steinbeis i2e)<br />James Landay (Co-Director of the Stanford Institute for Human-Centered Artificial Intelligence)<br />Helmut Krcmar (Founding Dean TUM Campus Heilbronn, TUM Emeritus of Excellence KrcmarLab)<br /><br />Moderator<br />Sarah Schwab-Jung (Head of Managing Office, TUM Campus Heilbronn)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3221</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/ef7bf65304ea5652d01b6a0a67d1e75c.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Embodied AI: Bridging the Gap Between the Digital and Physical World | AI House Davos 2025</title><link>https://www.spreaker.com/episode/embodied-ai-bridging-the-gap-between-the-digital-and-physical-world-ai-house-davos-2025--74882828</link><description><![CDATA[This panel delves into the transformative potential of embodied AI systems, showcasing their ability to operate in unstructured, hazardous, or hard-to-reach environments. From autonomous driving—where these systems navigate and interact alongside human participants—to search and rescue, we will highlight their current and near-future capabilities.<br /><br />The discussion will focus on advancements in robotics and the impact of embodied AI in complex, real-world scenarios.<br /><br /><br />Speakers<br />Marco Hutter (Director of the Robotic Systems Lab at ETH and Senior Director of Research at the AI Institute)<br />Péter Fankhauser (Co-Founder &amp; CEO at ANYbotics)<br />Raquel Urtasun (Founder &amp; CEO at Waabi and Professor of Computer Science at the University of Toronto)<br /><br />Moderator<br />Marc Pollefeys (Professor of Computer Science at ETH Zurich and Director of the Microsoft Mixed Reality and AI Lab in Zurich)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460974</guid><pubDate>Fri, 24 Jan 2025 15:08:16 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882828/2095303612334460974.mp3" length="53533609" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>This panel delves into the transformative potential of embodied AI systems, showcasing their ability to operate in unstructured, hazardous, or hard-to-reach environments. From autonomous driving—where these systems navigate and interact alongside...</itunes:subtitle><itunes:summary><![CDATA[This panel delves into the transformative potential of embodied AI systems, showcasing their ability to operate in unstructured, hazardous, or hard-to-reach environments. From autonomous driving—where these systems navigate and interact alongside human participants—to search and rescue, we will highlight their current and near-future capabilities.<br /><br />The discussion will focus on advancements in robotics and the impact of embodied AI in complex, real-world scenarios.<br /><br /><br />Speakers<br />Marco Hutter (Director of the Robotic Systems Lab at ETH and Senior Director of Research at the AI Institute)<br />Péter Fankhauser (Co-Founder &amp; CEO at ANYbotics)<br />Raquel Urtasun (Founder &amp; CEO at Waabi and Professor of Computer Science at the University of Toronto)<br /><br />Moderator<br />Marc Pollefeys (Professor of Computer Science at ETH Zurich and Director of the Microsoft Mixed Reality and AI Lab in Zurich)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3346</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/9fd4fbd3f05f0612e3e5f0185e0062f5.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI and Physics | AI House Davos 2025</title><link>https://www.spreaker.com/episode/ai-and-physics-ai-house-davos-2025--74882746</link><description><![CDATA[Artificial intelligence is transforming many other academic disciplines, but the degree to which it is doing so is particularly evident in physics. In addition to discussing the relationship between artificial intelligence and physics, including machine learning and statistical physics, this panel will discuss how artificial intelligence will transform physics in the future and how our understanding of nature will deepen as a result, with reference to cutting-edge research in physics.<br /><br />Speakers<br />Junichi Tanaka (The University of Tokyo)<br />Koji Hashimoto (Kyoto University)<br />Lenka Zdeborová (EPFL)<br />Max Tegmark (MIT)<br /><br />Moderator<br />Teruo Fujii (The University of Tokyo)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460937</guid><pubDate>Fri, 24 Jan 2025 14:57:25 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882746/2095303612334460937.mp3" length="53928998" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Artificial intelligence is transforming many other academic disciplines, but the degree to which it is doing so is particularly evident in physics. In addition to discussing the relationship between artificial intelligence and physics, including...</itunes:subtitle><itunes:summary><![CDATA[Artificial intelligence is transforming many other academic disciplines, but the degree to which it is doing so is particularly evident in physics. In addition to discussing the relationship between artificial intelligence and physics, including machine learning and statistical physics, this panel will discuss how artificial intelligence will transform physics in the future and how our understanding of nature will deepen as a result, with reference to cutting-edge research in physics.<br /><br />Speakers<br />Junichi Tanaka (The University of Tokyo)<br />Koji Hashimoto (Kyoto University)<br />Lenka Zdeborová (EPFL)<br />Max Tegmark (MIT)<br /><br />Moderator<br />Teruo Fujii (The University of Tokyo)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3371</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/2c47c80ec73ebc3079526408507b52ac.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Enhancing Healthcare Efficiency through Digitalization and AI | AI House Davos 2025</title><link>https://www.spreaker.com/episode/enhancing-healthcare-efficiency-through-digitalization-and-ai-ai-house-davos-2025--74882784</link><description><![CDATA[This panel will focus on the topic of breakthroughs and promises addressing the critical issues of cost pressure and the need for improved patient care in the European healthcare sector.<br /><br />The discussion will explore how digitalization and AI can contribute to these goals and how technology can transform healthcare, while also addressing the regulatory challenges and workforce implications.<br /><br />Michael Sen (Fresenius, CEO)<br />Peter Lee (Microsoft Research, President)<br />Bertram Weis (Merantix Momentum, VP Health)<br /><br />Moderator<br />Holger Kneisel (KPMG, Member of the Management Board, Head of Advisory)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460946</guid><pubDate>Fri, 24 Jan 2025 14:48:39 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882784/2095303612334460946.mp3" length="53205511" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>This panel will focus on the topic of breakthroughs and promises addressing the critical issues of cost pressure and the need for improved patient care in the European healthcare sector.

The discussion will explore how digitalization and AI can...</itunes:subtitle><itunes:summary><![CDATA[This panel will focus on the topic of breakthroughs and promises addressing the critical issues of cost pressure and the need for improved patient care in the European healthcare sector.<br /><br />The discussion will explore how digitalization and AI can contribute to these goals and how technology can transform healthcare, while also addressing the regulatory challenges and workforce implications.<br /><br />Michael Sen (Fresenius, CEO)<br />Peter Lee (Microsoft Research, President)<br />Bertram Weis (Merantix Momentum, VP Health)<br /><br />Moderator<br />Holger Kneisel (KPMG, Member of the Management Board, Head of Advisory)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3326</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/500ba8c79de08977e01169623e39bc8b.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI for Public Benefit: Bridging Technology and Society | AI House Davos 2025</title><link>https://www.spreaker.com/episode/ai-for-public-benefit-bridging-technology-and-society-ai-house-davos-2025--74882791</link><description><![CDATA[We stand at a critical moment in the development of AI. Technical capabilities are advancing rapidly, but there is a persistent gap between these advances and their benefit to society.<br /><br />The public consistently calls for AI to be directed toward pressing societal challenges, such as healthcare, education, and climate change, yet AI often develops along paths disconnected from these needs.<br /><br />This panel brings together international voices to explore this critical challenge: how can we ensure AI serves science, citizens, and society? Drawing on insights from recent public dialogues and real-world experiences, we'll examine what people expect from AI, the barriers to achieving this, and how to build innovation ecosystems that prioritize public benefit.<br /><br /><br />Speakers<br />Neil Lawrence (ai@cam Chair and DeepMind Professor of Machine Learning)<br />Godliver Owomugisha (Busitema University, Senior Lecturer, Faculty of Engineering)<br />Vilas Dhar (President, Patrick J. McGovern Foundation)<br />Andrzej Szeptycki (Republic of Poland, Deputy Minister at the Ministry of Science and Higher Education)<br /><br />Moderator<br />Jessica Montgomery (ai@cam, University of Cambridge)<br /><br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303612334460961</guid><pubDate>Fri, 24 Jan 2025 14:15:26 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882791/2095303612334460961.mp3" length="56403316" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>We stand at a critical moment in the development of AI. Technical capabilities are advancing rapidly, but there is a persistent gap between these advances and their benefit to society.

The public consistently calls for AI to be directed toward...</itunes:subtitle><itunes:summary><![CDATA[We stand at a critical moment in the development of AI. Technical capabilities are advancing rapidly, but there is a persistent gap between these advances and their benefit to society.<br /><br />The public consistently calls for AI to be directed toward pressing societal challenges, such as healthcare, education, and climate change, yet AI often develops along paths disconnected from these needs.<br /><br />This panel brings together international voices to explore this critical challenge: how can we ensure AI serves science, citizens, and society? Drawing on insights from recent public dialogues and real-world experiences, we'll examine what people expect from AI, the barriers to achieving this, and how to build innovation ecosystems that prioritize public benefit.<br /><br /><br />Speakers<br />Neil Lawrence (ai@cam Chair and DeepMind Professor of Machine Learning)<br />Godliver Owomugisha (Busitema University, Senior Lecturer, Faculty of Engineering)<br />Vilas Dhar (President, Patrick J. McGovern Foundation)<br />Andrzej Szeptycki (Republic of Poland, Deputy Minister at the Ministry of Science and Higher Education)<br /><br />Moderator<br />Jessica Montgomery (ai@cam, University of Cambridge)<br /><br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3526</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/ff1403819caff5b6129eabab35d98f0b.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI: The Biggest Tech Infrastructure Buildout in History | AI House Davos 2025</title><link>https://www.spreaker.com/episode/ai-the-biggest-tech-infrastructure-buildout-in-history-ai-house-davos-2025--74882795</link><description><![CDATA[It is no secret that AI is the defining trend of our generation, but what does that actually mean?<br /><br />Very soon AI will be deeply pervasive in our lives and the backbone of the industry is being built today. How are we building the infrastructure to support this massive global technological revolution? What do some of the global trends look like in terms of scaling both infrastructure and adoption?<br /><br />Hear from experts across the value chain from building data centers to cloud platforms to AI products to understand how this massive scale up in infrastructure and offerings is furthering innovation and business while also mitigating societal, economic and environmental risks of scaling AI.<br /><br />Speakers<br />Chase Lochmiller (Crusoe, CEO)<br />Costi Perricos (Deloitte, Global GenAI Business Leader)<br />Varun Mohan (Codeium, Co-Founder and CEO)<br /><br />Moderator<br />Shirin Ghaffary (Reporter, Bloomberg News)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364668</guid><pubDate>Fri, 24 Jan 2025 13:51:53 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882795/2095303673991364668.mp3" length="41113952" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>It is no secret that AI is the defining trend of our generation, but what does that actually mean?

Very soon AI will be deeply pervasive in our lives and the backbone of the industry is being built today. How are we building the infrastructure to...</itunes:subtitle><itunes:summary><![CDATA[It is no secret that AI is the defining trend of our generation, but what does that actually mean?<br /><br />Very soon AI will be deeply pervasive in our lives and the backbone of the industry is being built today. How are we building the infrastructure to support this massive global technological revolution? What do some of the global trends look like in terms of scaling both infrastructure and adoption?<br /><br />Hear from experts across the value chain from building data centers to cloud platforms to AI products to understand how this massive scale up in infrastructure and offerings is furthering innovation and business while also mitigating societal, economic and environmental risks of scaling AI.<br /><br />Speakers<br />Chase Lochmiller (Crusoe, CEO)<br />Costi Perricos (Deloitte, Global GenAI Business Leader)<br />Varun Mohan (Codeium, Co-Founder and CEO)<br /><br />Moderator<br />Shirin Ghaffary (Reporter, Bloomberg News)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>2570</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/7b7b6bb14c942c890566c36477122e1c.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Capital AI: Opportunities and Challenges for Investors | AI House Davos 2025</title><link>https://www.spreaker.com/episode/capital-ai-opportunities-and-challenges-for-investors-ai-house-davos-2025--74882748</link><description><![CDATA[How do you identify the next category-defining opportunities in AI across venture capital, private equity, and beyond?<br />What qualities set founders and operators building transformative AI solutions at scale apart? How can investors spot the tipping points when AI advancements translate into enduring, scalable businesses?<br />This panel gathers experts from across the investing landscape to explore the growing opportunities in vertical AI.<br />The discussion will delve into investing across stages, from early-stage application-layer innovation to growth-stage and mature companies, sharing insights, war stories, and lessons learned from a dynamic year in AI innovation and investment.<br /><br />Speakers<br />Adrian Locher (Merantix Capital, Founder &amp; General Partner)<br />Wei Li (BlackRock, Global Chief Investment Strategist)<br />Scott Sandell (NEA, Executive Chairman &amp; Chief Investment Officer)<br />Rob Heyvaert (Motive Partners, Founder and Managing Partner)<br />Guru Chahal (Lightspeed Venture Partners, Partner)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364649</guid><pubDate>Thu, 23 Jan 2025 11:10:55 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882748/2095303673991364649.mp3" length="52140133" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>How do you identify the next category-defining opportunities in AI across venture capital, private equity, and beyond?
What qualities set founders and operators building transformative AI solutions at scale apart? How can investors spot the tipping...</itunes:subtitle><itunes:summary><![CDATA[How do you identify the next category-defining opportunities in AI across venture capital, private equity, and beyond?<br />What qualities set founders and operators building transformative AI solutions at scale apart? How can investors spot the tipping points when AI advancements translate into enduring, scalable businesses?<br />This panel gathers experts from across the investing landscape to explore the growing opportunities in vertical AI.<br />The discussion will delve into investing across stages, from early-stage application-layer innovation to growth-stage and mature companies, sharing insights, war stories, and lessons learned from a dynamic year in AI innovation and investment.<br /><br />Speakers<br />Adrian Locher (Merantix Capital, Founder &amp; General Partner)<br />Wei Li (BlackRock, Global Chief Investment Strategist)<br />Scott Sandell (NEA, Executive Chairman &amp; Chief Investment Officer)<br />Rob Heyvaert (Motive Partners, Founder and Managing Partner)<br />Guru Chahal (Lightspeed Venture Partners, Partner)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3259</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/eb8f5024c85b9dc190afadb649f6f824.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Delivering Societal and Economic Impact with LLMs and Agentic Systems | AI House Davos 2025</title><link>https://www.spreaker.com/episode/delivering-societal-and-economic-impact-with-llms-and-agentic-systems-ai-house-davos-2025--74882755</link><description><![CDATA[As part of a globally integrated AI ecosystem—Large Language Models (LLMs) and agentic systems are transforming industries by driving economic value and societal progress.<br /><br />This panel will explore how LLMs revolutionize operations across different industries, enhancing efficiency, personalization, and inclusivity.<br /><br />Panelists will discuss infrastructure scalability, data security, and ethical deployment, showcasing The Intelligence Grid’s role in shaping a smarter, inclusive future.<br /><br />Speakers<br />Andrew Jackson (Acting CEO of Inception &amp; Chief Responsible AI Officer G42)<br />Rodney Zemmel (Global leader of McKinsey Digital and Firmwide AI Transformation, McKinsey)<br />Dena Almansoori (Group Chief AI &amp; Data Officer, e&amp;)<br />will.i.am (Founder &amp; CEO, FYI.AI)<br />Aidan Gomez (Co-Founder and CEO)<br /><br />Moderator<br />Faheem Ahamed (Group Chief Marketing and Communications Officer, G42)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364617</guid><pubDate>Thu, 23 Jan 2025 09:20:26 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882755/2095303673991364617.mp3" length="49847209" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>As part of a globally integrated AI ecosystem—Large Language Models (LLMs) and agentic systems are transforming industries by driving economic value and societal progress.

This panel will explore how LLMs revolutionize operations across different...</itunes:subtitle><itunes:summary><![CDATA[As part of a globally integrated AI ecosystem—Large Language Models (LLMs) and agentic systems are transforming industries by driving economic value and societal progress.<br /><br />This panel will explore how LLMs revolutionize operations across different industries, enhancing efficiency, personalization, and inclusivity.<br /><br />Panelists will discuss infrastructure scalability, data security, and ethical deployment, showcasing The Intelligence Grid’s role in shaping a smarter, inclusive future.<br /><br />Speakers<br />Andrew Jackson (Acting CEO of Inception &amp; Chief Responsible AI Officer G42)<br />Rodney Zemmel (Global leader of McKinsey Digital and Firmwide AI Transformation, McKinsey)<br />Dena Almansoori (Group Chief AI &amp; Data Officer, e&amp;)<br />will.i.am (Founder &amp; CEO, FYI.AI)<br />Aidan Gomez (Co-Founder and CEO)<br /><br />Moderator<br />Faheem Ahamed (Group Chief Marketing and Communications Officer, G42)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3116</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/79101233eec58ac5b4d9ffa7dcf3bfed.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>After the Hype – Translate AI into increased Value Creation | AI House Davos 2025</title><link>https://www.spreaker.com/episode/after-the-hype-translate-ai-into-increased-value-creation-ai-house-davos-2025--74882774</link><description><![CDATA[AI is reshaping operations, providing real-time analytics, and enhancing decision-making. But the potential for AI goes beyond simply cost savings.<br /><br />This panel will share perspectives from global AI leaders and practitioners on adoption barriers, how to overcome them, and what potential lies beyond. It will also explore how AI drives innovation and resilience, showcasing its ability to optimize processes and deliver measurable business value.<br /><br /><br />Speakers<br />Marcel Stalder (Chain IQ)<br />Rahul Kanodia (Datamatics)<br />Raphael Bres (Tradeshift)<br /><br />Moderator<br />Ana Maria Montero<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364630</guid><pubDate>Thu, 23 Jan 2025 08:35:01 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882774/2095303673991364630.mp3" length="51975039" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>AI is reshaping operations, providing real-time analytics, and enhancing decision-making. But the potential for AI goes beyond simply cost savings.

This panel will share perspectives from global AI leaders and practitioners on adoption barriers, how...</itunes:subtitle><itunes:summary><![CDATA[AI is reshaping operations, providing real-time analytics, and enhancing decision-making. But the potential for AI goes beyond simply cost savings.<br /><br />This panel will share perspectives from global AI leaders and practitioners on adoption barriers, how to overcome them, and what potential lies beyond. It will also explore how AI drives innovation and resilience, showcasing its ability to optimize processes and deliver measurable business value.<br /><br /><br />Speakers<br />Marcel Stalder (Chain IQ)<br />Rahul Kanodia (Datamatics)<br />Raphael Bres (Tradeshift)<br /><br />Moderator<br />Ana Maria Montero<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3249</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c3bd2b39f3b1da9f077bd5693e86e896.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Augmented Intelligence: Taking Manufacturing to the Next Level | AI House Davos 2025</title><link>https://www.spreaker.com/episode/augmented-intelligence-taking-manufacturing-to-the-next-level-ai-house-davos-2025--74882769</link><description><![CDATA[This panel discusses the role of AI in augmenting the future workforce. It explores the distinction between augmentation and automation.<br />Topics include embedding industry-specific domain knowledge into AI models, the role of causal and explainable AI in building workforce trust, and concerns about job security.<br />The discussion highlights the importance of upskilling and designing transparent AI tools to foster adoption. Looking ahead, it examines how augmentation may evolve over the next decade.<br /><br /><br />Speakers<br />Daniele Iacovelli (SVP &amp; Global Head of Digital, Analytics (AI) &amp; Operational Excellence at Roche PT)<br />Barbara Frei (Executive Vice President &amp; CEO of Industrial Automation at Schneider Electric)<br />Filippo Catalano (EVP &amp; Chief Information and Digital Officer at Mondelez International)<br />Torbjørn Netland (Professor of Production and Operations Management at ETH)<br /><br />Moderator<br />Spriha Srivastava (UK Bureau Chief &amp; International Executive Editor for Business Insider)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364631</guid><pubDate>Thu, 23 Jan 2025 08:05:24 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882769/2095303673991364631.mp3" length="51409540" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>This panel discusses the role of AI in augmenting the future workforce. It explores the distinction between augmentation and automation.
Topics include embedding industry-specific domain knowledge into AI models, the role of causal and explainable AI...</itunes:subtitle><itunes:summary><![CDATA[This panel discusses the role of AI in augmenting the future workforce. It explores the distinction between augmentation and automation.<br />Topics include embedding industry-specific domain knowledge into AI models, the role of causal and explainable AI in building workforce trust, and concerns about job security.<br />The discussion highlights the importance of upskilling and designing transparent AI tools to foster adoption. Looking ahead, it examines how augmentation may evolve over the next decade.<br /><br /><br />Speakers<br />Daniele Iacovelli (SVP &amp; Global Head of Digital, Analytics (AI) &amp; Operational Excellence at Roche PT)<br />Barbara Frei (Executive Vice President &amp; CEO of Industrial Automation at Schneider Electric)<br />Filippo Catalano (EVP &amp; Chief Information and Digital Officer at Mondelez International)<br />Torbjørn Netland (Professor of Production and Operations Management at ETH)<br /><br />Moderator<br />Spriha Srivastava (UK Bureau Chief &amp; International Executive Editor for Business Insider)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3214</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/4e815a0f94fbae6c2a6720a08665d85a.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI at Scale: Navigating Speed, Security, and Strategy | AI House Davos 2025</title><link>https://www.spreaker.com/episode/ai-at-scale-navigating-speed-security-and-strategy-ai-house-davos-2025--74882744</link><description><![CDATA[AI is transforming industries, driving innovation, value creation, and competitiveness along the entire value chain.<br />This panel convenes influential leaders to explore the opportunities and challenges of deploying AI at scale in a rapidly evolving environment.<br />Topics include navigating AI’s fast-paced advancements, ensuring robust and secure systems, and balancing in-house development with outsourcing in the AI value chain.<br /><br />Speakers<br />Jim Stratton (Workday)<br />Richard Socher (you.com)<br />Moderator<br /><br />Nicole Büttner (Merantix Momentum)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364635</guid><pubDate>Thu, 23 Jan 2025 07:59:17 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882744/2095303673991364635.mp3" length="50317413" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>AI is transforming industries, driving innovation, value creation, and competitiveness along the entire value chain.
This panel convenes influential leaders to explore the opportunities and challenges of deploying AI at scale in a rapidly evolving...</itunes:subtitle><itunes:summary><![CDATA[AI is transforming industries, driving innovation, value creation, and competitiveness along the entire value chain.<br />This panel convenes influential leaders to explore the opportunities and challenges of deploying AI at scale in a rapidly evolving environment.<br />Topics include navigating AI’s fast-paced advancements, ensuring robust and secure systems, and balancing in-house development with outsourcing in the AI value chain.<br /><br />Speakers<br />Jim Stratton (Workday)<br />Richard Socher (you.com)<br />Moderator<br /><br />Nicole Büttner (Merantix Momentum)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3145</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/79c645afc3d66b555fbc14cb28544f37.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>In the Era of AI, the world is only as strong as our infrastructure | AI House Davos 2025</title><link>https://www.spreaker.com/episode/in-the-era-of-ai-the-world-is-only-as-strong-as-our-infrastructure-ai-house-davos-2025--74882798</link><description><![CDATA[As more are turning to building and deploying AI models, a robust infrastructure, spanning compute, networking and storage, is needed to capture and transmit data and become increasingly critical to success. This comes at a time of great convergence to solve for infrastructure.<br /><br />As government agencies, private enterprises, and NGOs turn to AI tools to solve their most complex and perplexing challenges, technologies, along with related policies and programs they face, will directly impact their ability to succeed. This session will discuss the possibilities that the era of AI represents, the challenges that come with pursuing these innovative solutions, and demonstrate why next-generation infrastructure, that is also sustainable, secure, private and compliant, is crucial not only to advancing AI but our entire society.<br /><br />Speakers<br />Anne Hoecker (Global Head of Technology, Media, and Telecommunications at Bain)<br />Nikita Popov (Head of AI Office at Novartis)<br />Sarah Heck (Head of Policy Planning and Programs at Anthropic)<br />Pankaj Sharma (Executive Vice President of the Secure Power Division at Schneider Electric)<br /><br />Moderator<br />Kirk Bresniker (Hewlett Packard Labs Chief Architect / HPE Fellow/VP at Hewlett Packard Enterprise)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364661</guid><pubDate>Thu, 23 Jan 2025 07:49:42 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882798/2095303673991364661.mp3" length="53004472" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>As more are turning to building and deploying AI models, a robust infrastructure, spanning compute, networking and storage, is needed to capture and transmit data and become increasingly critical to success. This comes at a time of great convergence...</itunes:subtitle><itunes:summary><![CDATA[As more are turning to building and deploying AI models, a robust infrastructure, spanning compute, networking and storage, is needed to capture and transmit data and become increasingly critical to success. This comes at a time of great convergence to solve for infrastructure.<br /><br />As government agencies, private enterprises, and NGOs turn to AI tools to solve their most complex and perplexing challenges, technologies, along with related policies and programs they face, will directly impact their ability to succeed. This session will discuss the possibilities that the era of AI represents, the challenges that come with pursuing these innovative solutions, and demonstrate why next-generation infrastructure, that is also sustainable, secure, private and compliant, is crucial not only to advancing AI but our entire society.<br /><br />Speakers<br />Anne Hoecker (Global Head of Technology, Media, and Telecommunications at Bain)<br />Nikita Popov (Head of AI Office at Novartis)<br />Sarah Heck (Head of Policy Planning and Programs at Anthropic)<br />Pankaj Sharma (Executive Vice President of the Secure Power Division at Schneider Electric)<br /><br />Moderator<br />Kirk Bresniker (Hewlett Packard Labs Chief Architect / HPE Fellow/VP at Hewlett Packard Enterprise)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3313</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/2394e5fe15a5b410b32277144c2140b2.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Tech Pioneers - Collaboration for the Intelligent Age | AI House Davos 2025</title><link>https://www.spreaker.com/episode/tech-pioneers-collaboration-for-the-intelligent-age-ai-house-davos-2025--74882749</link><description><![CDATA[As AI transforms industries and reshapes global economies, redefining how we live, work, and govern, this panel will explore the building blocks required to create resilient ecosystems that pave the way for an intelligent and inclusive future.<br /><br />Tech pioneers will draw from the learnings of the Information Age (the internet era) and focus on strategies for the seamless integration of AI into business, society, and governance.<br /><br />The discussion will highlight the importance of collaboration across diverse ecosystems, bringing together organizations, startups, governments, researchers, and tech leaders. Centered on critical themes of innovation, ethics, and partnerships, panelists will uncover actionable strategies to make AI accessible to all, drive equitable progress and unlock its potential to create meaningful impact.<br /><br /><br />Speakers<br />Rasmus Rothe (Founder &amp; General Partner, Merantix Capital)<br />Anurang Revri (VP &amp; Chief Enterprise Architect, Stanford Health Center)<br />Lu Zhang (Founder and Managing Partner, Fusion Fund)<br />Andreas Krause (Professor &amp; Chair, ETH Zurich &amp; ETH AI Center)<br /><br />Moderator<br />Ashish Madan (CTO &amp; Managing Partner, KPMG in Germany)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364648</guid><pubDate>Thu, 23 Jan 2025 07:44:28 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882749/2095303673991364648.mp3" length="48232214" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>As AI transforms industries and reshapes global economies, redefining how we live, work, and govern, this panel will explore the building blocks required to create resilient ecosystems that pave the way for an intelligent and inclusive future.

Tech...</itunes:subtitle><itunes:summary><![CDATA[As AI transforms industries and reshapes global economies, redefining how we live, work, and govern, this panel will explore the building blocks required to create resilient ecosystems that pave the way for an intelligent and inclusive future.<br /><br />Tech pioneers will draw from the learnings of the Information Age (the internet era) and focus on strategies for the seamless integration of AI into business, society, and governance.<br /><br />The discussion will highlight the importance of collaboration across diverse ecosystems, bringing together organizations, startups, governments, researchers, and tech leaders. Centered on critical themes of innovation, ethics, and partnerships, panelists will uncover actionable strategies to make AI accessible to all, drive equitable progress and unlock its potential to create meaningful impact.<br /><br /><br />Speakers<br />Rasmus Rothe (Founder &amp; General Partner, Merantix Capital)<br />Anurang Revri (VP &amp; Chief Enterprise Architect, Stanford Health Center)<br />Lu Zhang (Founder and Managing Partner, Fusion Fund)<br />Andreas Krause (Professor &amp; Chair, ETH Zurich &amp; ETH AI Center)<br /><br />Moderator<br />Ashish Madan (CTO &amp; Managing Partner, KPMG in Germany)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3015</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/9e200a202a731595342df0f6d2554fcc.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI Regulation: Policy Silos Meet International Cooperation | AI House Davos 2025</title><link>https://www.spreaker.com/episode/ai-regulation-policy-silos-meet-international-cooperation-ai-house-davos-2025--74882777</link><description><![CDATA[This panel explores the evolving landscape of AI regulation in 2025, focusing on the tension between global harmonization, international cooperation, and regional autonomy. It will consider diverse perspectives from Europe, the USA, and Asia.<br /><br />The aim is to discuss clear actions and strategic priorities for the future. Key topics include cross-border enforcement mechanisms and shared standards for transparency and bias mitigation under differing legal frameworks, enabling the broad and impactful adoption of AI technologies in societies.<br /><br />Speakers<br />Bilel Jamoussi (ITU, Deputy Director of the ITU's Standardization Bureau)<br />Franziska Weindauer (CEO, TÜV AI.Lab)<br />Irene Solaiman (Head of Global Policy, Hugging Face)<br />Vanessa Wilfred (Deputy Director of AI Governance, IMDA)<br /><br />Moderator<br />Kenneth Cukier (Deputy Executive Editor, The Economist)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364642</guid><pubDate>Wed, 22 Jan 2025 19:40:46 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882777/2095303673991364642.mp3" length="50409782" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>This panel explores the evolving landscape of AI regulation in 2025, focusing on the tension between global harmonization, international cooperation, and regional autonomy. It will consider diverse perspectives from Europe, the USA, and Asia.

The aim...</itunes:subtitle><itunes:summary><![CDATA[This panel explores the evolving landscape of AI regulation in 2025, focusing on the tension between global harmonization, international cooperation, and regional autonomy. It will consider diverse perspectives from Europe, the USA, and Asia.<br /><br />The aim is to discuss clear actions and strategic priorities for the future. Key topics include cross-border enforcement mechanisms and shared standards for transparency and bias mitigation under differing legal frameworks, enabling the broad and impactful adoption of AI technologies in societies.<br /><br />Speakers<br />Bilel Jamoussi (ITU, Deputy Director of the ITU's Standardization Bureau)<br />Franziska Weindauer (CEO, TÜV AI.Lab)<br />Irene Solaiman (Head of Global Policy, Hugging Face)<br />Vanessa Wilfred (Deputy Director of AI Governance, IMDA)<br /><br />Moderator<br />Kenneth Cukier (Deputy Executive Editor, The Economist)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3151</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/dfe199f682b6d4299d0bf2938d5076fb.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Smart Tech, Green Planet: How AI Can Protect Nature in Commodity Supply Chains | AI House Davos 2025</title><link>https://www.spreaker.com/episode/smart-tech-green-planet-how-ai-can-protect-nature-in-commodity-supply-chains-ai-house-davos-2025--74882814</link><description><![CDATA[This session gathers experts from AI research, academia, and development to explore how AI can aid in protecting our planet. Emphasizing the preservation of animal and plant life in tropical areas where commodities like palm oil, cocoa, and coffee are sourced, the discussion raises an essential question:<br /><br />Can AI help put protections in place that allow us to enjoy the luxury products we love while preserving nature and conserving our resources?<br /><br /><br />Speakers<br />Inbal Becker-Reshef (NASA Harvest)<br />Oliver von Hagen (Von Hagen Advisory)<br />Maxim Neumann (Google DeepMind)<br />Ruth Schmidt (Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ))<br /><br />Moderator<br />Jan Dirk Wegner<br />EcoVision Lab, UZH &amp; ETH AI Center<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364653</guid><pubDate>Wed, 22 Jan 2025 19:40:40 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882814/2095303673991364653.mp3" length="53993782" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>This session gathers experts from AI research, academia, and development to explore how AI can aid in protecting our planet. Emphasizing the preservation of animal and plant life in tropical areas where commodities like palm oil, cocoa, and coffee are...</itunes:subtitle><itunes:summary><![CDATA[This session gathers experts from AI research, academia, and development to explore how AI can aid in protecting our planet. Emphasizing the preservation of animal and plant life in tropical areas where commodities like palm oil, cocoa, and coffee are sourced, the discussion raises an essential question:<br /><br />Can AI help put protections in place that allow us to enjoy the luxury products we love while preserving nature and conserving our resources?<br /><br /><br />Speakers<br />Inbal Becker-Reshef (NASA Harvest)<br />Oliver von Hagen (Von Hagen Advisory)<br />Maxim Neumann (Google DeepMind)<br />Ruth Schmidt (Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ))<br /><br />Moderator<br />Jan Dirk Wegner<br />EcoVision Lab, UZH &amp; ETH AI Center<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3375</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/d498683132adbbfa9487eee769ac91a8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Addressing the AI Readiness Gap | AI House Davos 2025</title><link>https://www.spreaker.com/episode/addressing-the-ai-readiness-gap-ai-house-davos-2025--74882760</link><description><![CDATA[This panel brings together experts to discuss the role of AI in the workplace of the future, including how organizations should be thinking about how to leverage AI to drive customer value, empower and retain employees, and ensure the availability, reliability and security of their infrastructures.<br /><br />They will also discuss what barriers exist along the road to an AI-empowered workforce, including the limitations associated with power, data, evaluation models, ethical considerations, AI safety and more.<br /><br />Speakers<br />Arvind Jai (CEO, Glean)<br />Navrina Singh (Founder and CEO, Credo AI)<br /><br />Moderator<br />Jeetu Patel (EVP and Chief Product Officer, Cisco Systems)<br /><br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364628</guid><pubDate>Wed, 22 Jan 2025 17:56:57 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882760/2095303673991364628.mp3" length="51127000" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>This panel brings together experts to discuss the role of AI in the workplace of the future, including how organizations should be thinking about how to leverage AI to drive customer value, empower and retain employees, and ensure the availability,...</itunes:subtitle><itunes:summary><![CDATA[This panel brings together experts to discuss the role of AI in the workplace of the future, including how organizations should be thinking about how to leverage AI to drive customer value, empower and retain employees, and ensure the availability, reliability and security of their infrastructures.<br /><br />They will also discuss what barriers exist along the road to an AI-empowered workforce, including the limitations associated with power, data, evaluation models, ethical considerations, AI safety and more.<br /><br />Speakers<br />Arvind Jai (CEO, Glean)<br />Navrina Singh (Founder and CEO, Credo AI)<br /><br />Moderator<br />Jeetu Patel (EVP and Chief Product Officer, Cisco Systems)<br /><br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3196</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/d7056bdeaaf4e340874a6565c8704d02.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Defining Sovereignty in a New Era of AI | AI House Davos 2025</title><link>https://www.spreaker.com/episode/defining-sovereignty-in-a-new-era-of-ai-ai-house-davos-2025--74882813</link><description><![CDATA[There is a special demand for sovereign AI, which has become a prerequisite for protecting national security and strengthening the resilience of the public sector. Sovereign AI also allows nations to make compute and tools accessible for the greater good to innovate and unlock economic growth.<br /><br />In this session, we’ll explore how nations invest in sovereign AI and through a strong public-private collaboration, can scale AI and make it inclusive to create a positive societal impact.<br /><br />Speakers<br />Phil Mottram (EVP and GM, Hewlett Packard Enterprise Networking)<br />Kiril Evtimov (G42 Group Chief Technology Officer / Core42 CEO)<br />Dr Kimberley S. Budil (Laboratory Director, Lawrence Livermore National Laboratory)<br />Dariusz Standerski (Secretary of State, Ministry of Digital Affairs)<br /><br />Moderator<br />Irena Bednarich (Vice President, International Government Affairs, Hewlett Packard Enterprise)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364650</guid><pubDate>Wed, 22 Jan 2025 14:47:28 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882813/2095303673991364650.mp3" length="48790608" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>There is a special demand for sovereign AI, which has become a prerequisite for protecting national security and strengthening the resilience of the public sector. Sovereign AI also allows nations to make compute and tools accessible for the greater...</itunes:subtitle><itunes:summary><![CDATA[There is a special demand for sovereign AI, which has become a prerequisite for protecting national security and strengthening the resilience of the public sector. Sovereign AI also allows nations to make compute and tools accessible for the greater good to innovate and unlock economic growth.<br /><br />In this session, we’ll explore how nations invest in sovereign AI and through a strong public-private collaboration, can scale AI and make it inclusive to create a positive societal impact.<br /><br />Speakers<br />Phil Mottram (EVP and GM, Hewlett Packard Enterprise Networking)<br />Kiril Evtimov (G42 Group Chief Technology Officer / Core42 CEO)<br />Dr Kimberley S. Budil (Laboratory Director, Lawrence Livermore National Laboratory)<br />Dariusz Standerski (Secretary of State, Ministry of Digital Affairs)<br /><br />Moderator<br />Irena Bednarich (Vice President, International Government Affairs, Hewlett Packard Enterprise)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3050</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/12a2488823809cff679c9598a83f1dcb.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Building Tomorrow's AI Economy: Accelerating Access for Global AI Adoption | AI House Davos 2025</title><link>https://www.spreaker.com/episode/building-tomorrow-s-ai-economy-accelerating-access-for-global-ai-adoption-ai-house-davos-2025--74882786</link><description><![CDATA[As nations strive for AI leadership, the transformation of global computing infrastructure is redefining economic policy, innovation, and technological sovereignty.<br /><br />This panel explores the rise of heterogeneous AI infrastructure as a critical driver of national competitiveness and inclusive growth. From GPUaaS to new models of AI compute capability, the discussion examines how this evolution is enabling both advanced economies and emerging markets to access the global AI economy.<br /><br />Panelists will delve into strategies for fostering local innovation ecosystems, ensuring data sovereignty, and bridging the gap between technological ambition and sustainable, equitable AI adoption.<br /><br /><br />Speakers<br />Kiril Evtimov (Group CTO, G42, and CEO, Core42)<br />Vijay Karunamurthy (Scale AI, Field Chief Technology Officer)<br />Samuel Bonamigo (Databricks, EMEA SVP &amp; GM)<br />Avani Desai (Schellman, Chief Executive Officer)<br /><br />Moderator <br />Becky Anderson (CNN, Managing Editor, CNN Abu Dhabi<br />Anchor, Connect the World)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364664</guid><pubDate>Wed, 22 Jan 2025 13:55:35 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882786/2095303673991364664.mp3" length="53997125" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>As nations strive for AI leadership, the transformation of global computing infrastructure is redefining economic policy, innovation, and technological sovereignty.

This panel explores the rise of heterogeneous AI infrastructure as a critical driver...</itunes:subtitle><itunes:summary><![CDATA[As nations strive for AI leadership, the transformation of global computing infrastructure is redefining economic policy, innovation, and technological sovereignty.<br /><br />This panel explores the rise of heterogeneous AI infrastructure as a critical driver of national competitiveness and inclusive growth. From GPUaaS to new models of AI compute capability, the discussion examines how this evolution is enabling both advanced economies and emerging markets to access the global AI economy.<br /><br />Panelists will delve into strategies for fostering local innovation ecosystems, ensuring data sovereignty, and bridging the gap between technological ambition and sustainable, equitable AI adoption.<br /><br /><br />Speakers<br />Kiril Evtimov (Group CTO, G42, and CEO, Core42)<br />Vijay Karunamurthy (Scale AI, Field Chief Technology Officer)<br />Samuel Bonamigo (Databricks, EMEA SVP &amp; GM)<br />Avani Desai (Schellman, Chief Executive Officer)<br /><br />Moderator <br />Becky Anderson (CNN, Managing Editor, CNN Abu Dhabi<br />Anchor, Connect the World)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3375</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/dc0b6b63dcb1a5b2e9a250e6d72dc3f7.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Is Explainable AI our Solution to Mitigate Bias? | AI House Davos 2025</title><link>https://www.spreaker.com/episode/is-explainable-ai-our-solution-to-mitigate-bias-ai-house-davos-2025--74882763</link><description><![CDATA[This session will examine how explainable AI (XAI) can help mitigate bias by making AI systems more transparent and accountable. We’ll discuss the challenges of bias in AI and evaluate whether XAI can be a comprehensive solution or just one part of a broader approach, including diverse data and ethical oversight.<br /><br />Speakers<br />David Roberts (CTO / CPO | Board Member, Allegro)<br />Wojciech Samek (Professor, Technische Universität Berlin)<br />Kseniia Fontaine (Senior Business Development and Operations Officer, ITU)<br />Przemysław Biecek (Professor, Warsaw University of Technology &amp; University of Warsaw)<br /><br />Moderator<br />Pamela Krzypkowska (Director of Research and Innovation, Ministry of Digital Affairs of Poland)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364626</guid><pubDate>Wed, 22 Jan 2025 12:36:18 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882763/2095303673991364626.mp3" length="52615770" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>This session will examine how explainable AI (XAI) can help mitigate bias by making AI systems more transparent and accountable. We’ll discuss the challenges of bias in AI and evaluate whether XAI can be a comprehensive solution or just one part of a...</itunes:subtitle><itunes:summary><![CDATA[This session will examine how explainable AI (XAI) can help mitigate bias by making AI systems more transparent and accountable. We’ll discuss the challenges of bias in AI and evaluate whether XAI can be a comprehensive solution or just one part of a broader approach, including diverse data and ethical oversight.<br /><br />Speakers<br />David Roberts (CTO / CPO | Board Member, Allegro)<br />Wojciech Samek (Professor, Technische Universität Berlin)<br />Kseniia Fontaine (Senior Business Development and Operations Officer, ITU)<br />Przemysław Biecek (Professor, Warsaw University of Technology &amp; University of Warsaw)<br /><br />Moderator<br />Pamela Krzypkowska (Director of Research and Innovation, Ministry of Digital Affairs of Poland)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3289</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/8ea890a2badb6962a2d795324d8ebeb7.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>A Conversation with Ray Dalio: AI, Systems Thinking, and the Human Connection | AI House Davos 2025</title><link>https://www.spreaker.com/episode/a-conversation-with-ray-dalio-ai-systems-thinking-and-the-human-connection-ai-house-davos-2025--74882780</link><description><![CDATA[Join renowned investor Ray Dalio for an engaging fireside chat exploring the enormous potential of artificial intelligence in decision-making, innovation, and global investing.<br /><br />This discussion will delve into Dalio's unique perspective on AI's impact on humanity across business, politics, and finance, shaped by his deep understanding of systems thinking and his pioneering work as an investor.<br /><br /><br />Speakers<br />Ray Dalio (Bridgewater Associates)<br />Rasmus Rothe (Merantix Capital)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364610</guid><pubDate>Wed, 22 Jan 2025 09:38:28 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882780/2095303673991364610.mp3" length="49189759" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Join renowned investor Ray Dalio for an engaging fireside chat exploring the enormous potential of artificial intelligence in decision-making, innovation, and global investing.

This discussion will delve into Dalio's unique perspective on AI's impact...</itunes:subtitle><itunes:summary><![CDATA[Join renowned investor Ray Dalio for an engaging fireside chat exploring the enormous potential of artificial intelligence in decision-making, innovation, and global investing.<br /><br />This discussion will delve into Dalio's unique perspective on AI's impact on humanity across business, politics, and finance, shaped by his deep understanding of systems thinking and his pioneering work as an investor.<br /><br /><br />Speakers<br />Ray Dalio (Bridgewater Associates)<br />Rasmus Rothe (Merantix Capital)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3075</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/922030bb999e932c075291bc38204fe4.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Beyond the Limits of AI: New Possibilities through Multimodal and Real-World Understanding| AIHD2025</title><link>https://www.spreaker.com/episode/beyond-the-limits-of-ai-new-possibilities-through-multimodal-and-real-world-understanding-aihd2025--74882779</link><description><![CDATA[Building on the remarkable advances in language comprehension and generation, where might AI go next?<br /><br />By expanding its scope to integrate diverse data streams—such as images, audio, and spatial context—AI may discover entirely new avenues of application and innovation.<br /><br />This panel will explore the exciting possibilities that arise when we look beyond text-based understanding, examining how multimodality and real-world context could redefine the boundaries of AI capabilities.<br /><br />SPEAKERS<br />Teruo Fujii (President, The University of Tokyo)<br />Marc Pollefeys (Professor, ETH Zürich)<br />Bolor-Erdene Battsengel (Founder &amp; CEO, AI Academy Asia)<br />Shinpei Kato (Founder &amp; CEO, TIER IV, Inc.)<br />Paul Alivisatos (President, The University of Chicago)<br /><br />Moderator<br />Yoshihiro Kawahara (Professor, The University of Tokyo)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364618</guid><pubDate>Wed, 22 Jan 2025 05:24:06 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882779/2095303673991364618.mp3" length="50828577" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Building on the remarkable advances in language comprehension and generation, where might AI go next?

By expanding its scope to integrate diverse data streams—such as images, audio, and spatial context—AI may discover entirely new avenues of...</itunes:subtitle><itunes:summary><![CDATA[Building on the remarkable advances in language comprehension and generation, where might AI go next?<br /><br />By expanding its scope to integrate diverse data streams—such as images, audio, and spatial context—AI may discover entirely new avenues of application and innovation.<br /><br />This panel will explore the exciting possibilities that arise when we look beyond text-based understanding, examining how multimodality and real-world context could redefine the boundaries of AI capabilities.<br /><br />SPEAKERS<br />Teruo Fujii (President, The University of Tokyo)<br />Marc Pollefeys (Professor, ETH Zürich)<br />Bolor-Erdene Battsengel (Founder &amp; CEO, AI Academy Asia)<br />Shinpei Kato (Founder &amp; CEO, TIER IV, Inc.)<br />Paul Alivisatos (President, The University of Chicago)<br /><br />Moderator<br />Yoshihiro Kawahara (Professor, The University of Tokyo)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3177</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/33b0049acef34914b546d8b209beac4e.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Foundation Models from Big-Tech to Localization | AI House Davos 2025</title><link>https://www.spreaker.com/episode/foundation-models-from-big-tech-to-localization-ai-house-davos-2025--74882781</link><description><![CDATA[This session will explore the benefits of developing localized LLMs alongside big-tech models, highlighting the need for tailored, secure, and controllable AI solutions.<br /><br />While big-tech LLMs play an important role in driving global innovation, this panel explores how local models can complement these technologies by supporting national sovereignty, data privacy, and alignment with local regulations.<br /><br /><br />Speakers<br />Aleksandra Przegalińska (Professor, Kozminski University)<br />Tomasz Kułakowski (Seasoned entrepreneur, co-founder, deepsense.ai &amp; CodiLime)<br />Yann LeCun (VP &amp; Chief AI Scientist, Meta)<br />Mennatallah El-Assady (Assistant Professor, ETH Zürich)<br />Moderator <br />Maciej Piasecki (Professor, Wrocław University of Science and Technology)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364670</guid><pubDate>Tue, 21 Jan 2025 12:23:16 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882781/2095303673991364670.mp3" length="53714585" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>This session will explore the benefits of developing localized LLMs alongside big-tech models, highlighting the need for tailored, secure, and controllable AI solutions.

While big-tech LLMs play an important role in driving global innovation, this...</itunes:subtitle><itunes:summary><![CDATA[This session will explore the benefits of developing localized LLMs alongside big-tech models, highlighting the need for tailored, secure, and controllable AI solutions.<br /><br />While big-tech LLMs play an important role in driving global innovation, this panel explores how local models can complement these technologies by supporting national sovereignty, data privacy, and alignment with local regulations.<br /><br /><br />Speakers<br />Aleksandra Przegalińska (Professor, Kozminski University)<br />Tomasz Kułakowski (Seasoned entrepreneur, co-founder, deepsense.ai &amp; CodiLime)<br />Yann LeCun (VP &amp; Chief AI Scientist, Meta)<br />Mennatallah El-Assady (Assistant Professor, ETH Zürich)<br />Moderator <br />Maciej Piasecki (Professor, Wrocław University of Science and Technology)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3358</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/0a124741a9487a063fb86fa07c2bb0ad.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Dual Use - AI in Conflict | AI House Davos 2025</title><link>https://www.spreaker.com/episode/dual-use-ai-in-conflict-ai-house-davos-2025--74882762</link><description><![CDATA[Autonomous weapon systems, deepfakes, support to military decision making, efficient medical delivery services, detection of unexploded munitions, and reunification of family members:<br /><br />AI is disrupting armed conflicts and humanitarian action as much as it is changing our everyday lives. However, in armed conflicts, the risks are being faced by people who are already especially vulnerable – they may have lost their homes, their loved ones, their livelihoods. War is also always messy, dirty and complex, raising question marks as to AI’s ability to operate effectively and reliably in such a volatile and unpredictable environment.<br /><br />How do we find the right balance? How do we keep humanity at the centre of conflicts? Find out more in this panel.<br /><br /><br />Speakers<br />Jean-Marc Rickli (Geneva Centre for Security Policy)<br />Isabel Ebert (UN Human rights)<br />Gilles Carbonnier (International Committee of the Red Cross)<br />Rebeca Moreno Jimenez (UN Refugee Agency)<br /><br />Moderator<br />Neil Davison (Centre for Humanitarian Dialogue (HD))<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364623</guid><pubDate>Tue, 21 Jan 2025 12:09:44 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882762/2095303673991364623.mp3" length="58860498" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Autonomous weapon systems, deepfakes, support to military decision making, efficient medical delivery services, detection of unexploded munitions, and reunification of family members:

AI is disrupting armed conflicts and humanitarian action as much...</itunes:subtitle><itunes:summary><![CDATA[Autonomous weapon systems, deepfakes, support to military decision making, efficient medical delivery services, detection of unexploded munitions, and reunification of family members:<br /><br />AI is disrupting armed conflicts and humanitarian action as much as it is changing our everyday lives. However, in armed conflicts, the risks are being faced by people who are already especially vulnerable – they may have lost their homes, their loved ones, their livelihoods. War is also always messy, dirty and complex, raising question marks as to AI’s ability to operate effectively and reliably in such a volatile and unpredictable environment.<br /><br />How do we find the right balance? How do we keep humanity at the centre of conflicts? Find out more in this panel.<br /><br /><br />Speakers<br />Jean-Marc Rickli (Geneva Centre for Security Policy)<br />Isabel Ebert (UN Human rights)<br />Gilles Carbonnier (International Committee of the Red Cross)<br />Rebeca Moreno Jimenez (UN Refugee Agency)<br /><br />Moderator<br />Neil Davison (Centre for Humanitarian Dialogue (HD))<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3679</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/7b71e9b156a78c189eec840eaff47896.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Women's AI Breakfast | AI House Davos 2025</title><link>https://www.spreaker.com/episode/women-s-ai-breakfast-ai-house-davos-2025--74882756</link><description><![CDATA[Start the week with a breakfast, where we will delve into the critical issue of data imbalances in AI development. This session will explore how skewed datasets can lead to biased algorithms, impacting decision-making across various sectors. Through insightful discussions, we aim to uncover strategies for identifying and mitigating these imbalances, ensuring that AI technologies are both fair and inclusive. This event offers a unique opportunity to engage with thought leaders and practitioners dedicated to advancing equitable AI solutions.<br /><br />Speakers:<br />Nicole Büttner (Founder &amp; CEO, Merantix Momentum<br />Annabella Bassler (CFO, Ringier Group)<br />Kate Smaje (Senior Partner, McKinsey)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364627</guid><pubDate>Tue, 21 Jan 2025 10:48:34 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882756/2095303673991364627.mp3" length="55059160" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Start the week with a breakfast, where we will delve into the critical issue of data imbalances in AI development. This session will explore how skewed datasets can lead to biased algorithms, impacting decision-making across various sectors. Through...</itunes:subtitle><itunes:summary><![CDATA[Start the week with a breakfast, where we will delve into the critical issue of data imbalances in AI development. This session will explore how skewed datasets can lead to biased algorithms, impacting decision-making across various sectors. Through insightful discussions, we aim to uncover strategies for identifying and mitigating these imbalances, ensuring that AI technologies are both fair and inclusive. This event offers a unique opportunity to engage with thought leaders and practitioners dedicated to advancing equitable AI solutions.<br /><br />Speakers:<br />Nicole Büttner (Founder &amp; CEO, Merantix Momentum<br />Annabella Bassler (CFO, Ringier Group)<br />Kate Smaje (Senior Partner, McKinsey)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3442</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/bc378d27647e6381506903f3167d1199.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Open Source AI Infrastructure Ecosystem | AI House Davos 2025</title><link>https://www.spreaker.com/episode/open-source-ai-infrastructure-ecosystem-ai-house-davos-2025--74882799</link><description><![CDATA[The rapid advancement of artificial intelligence presents both immense opportunities and significant challenges for the global community.<br /><br />This stellar AI House Davos panel discussion will explore the critical role of the open source AI infrastructure ecosystem in accelerating access to AI, fostering innovation, and mitigating risks associated with concentrated power in the AI landscape.<br /><br />Speakers:<br />Bill Jia (VP Engineering, Google)<br />Yann LeCun (VP &amp; Chief AI Scientist, Meta FAIR)<br />Neil Lawrence (DeepMind Professor of Machine Learning, University of Cambridge)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364651</guid><pubDate>Tue, 21 Jan 2025 10:38:20 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882799/2095303673991364651.mp3" length="56024645" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>The rapid advancement of artificial intelligence presents both immense opportunities and significant challenges for the global community.

This stellar AI House Davos panel discussion will explore the critical role of the open source AI infrastructure...</itunes:subtitle><itunes:summary><![CDATA[The rapid advancement of artificial intelligence presents both immense opportunities and significant challenges for the global community.<br /><br />This stellar AI House Davos panel discussion will explore the critical role of the open source AI infrastructure ecosystem in accelerating access to AI, fostering innovation, and mitigating risks associated with concentrated power in the AI landscape.<br /><br />Speakers:<br />Bill Jia (VP Engineering, Google)<br />Yann LeCun (VP &amp; Chief AI Scientist, Meta FAIR)<br />Neil Lawrence (DeepMind Professor of Machine Learning, University of Cambridge)<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>3502</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/eea335d95b5a765e79bce67a4bf22bc0.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Opening Cerremony | AI House Davos 2025</title><link>https://www.spreaker.com/episode/opening-cerremony-ai-house-davos-2025--74882738</link><description><![CDATA[Step into the spirit of global collaboration at the AI House Davos 2025 opening ceremony, where ideas and innovation converge across industries and borders to form the foundation for progress and action.<br /><br />Together, we will celebrate the power of partnership, a shared vision, and collective progress.<br /><br />Let us ignite a week of transformative connections, inspiring ideas, purposeful controversy, and limitless possibilities.<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364615</guid><pubDate>Tue, 21 Jan 2025 10:25:25 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882738/2095303673991364615.mp3" length="33528410" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Step into the spirit of global collaboration at the AI House Davos 2025 opening ceremony, where ideas and innovation converge across industries and borders to form the foundation for progress and action.

Together, we will celebrate the power of...</itunes:subtitle><itunes:summary><![CDATA[Step into the spirit of global collaboration at the AI House Davos 2025 opening ceremony, where ideas and innovation converge across industries and borders to form the foundation for progress and action.<br /><br />Together, we will celebrate the power of partnership, a shared vision, and collective progress.<br /><br />Let us ignite a week of transformative connections, inspiring ideas, purposeful controversy, and limitless possibilities.<br /><br />(c) AI House Davos 2025 <br />Founders &amp; Strategic Partners:<br />ETH AI Center, Merantix, G42, Hewlett Packard Enterprise<br /><br />Presenting Partners &amp; Guest Country:<br />KPMG, The University of Tokyo, Poland]]></itunes:summary><itunes:duration>2096</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/03834f37baead68927f44ae5dc36f672.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Quantum Machine Learning | AI House Davos 2024</title><link>https://www.spreaker.com/episode/quantum-machine-learning-ai-house-davos-2024--74882818</link><description><![CDATA[Immerse yourself in the cutting-edge world of Artificial Intelligence and Quantum Machine Learning at our expert-led Panel Discussion. This event brings together leading minds in AI and quantum computing to delve into the synergies and future directions of these transformative technologies. Attendees will have the unique opportunity to engage with panelists, gain deep insights into the latest advancements, and network with professionals at the forefront of shaping the future of AI and quantum machine learning.<br /><br />Speakers:<br />Heike Riel | IBM Fellow, Head Science &amp; Technology, Lead - IBM Research<br />Karolos Potamianos | Ernest Rutherford Fellow - University of Warwick and Oxford<br />Nadia Carlsten | VP of Product - SandboxAQ<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364639</guid><pubDate>Tue, 23 Jan 2024 11:18:24 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882818/2095303673991364639.mp3" length="45908779" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Immerse yourself in the cutting-edge world of Artificial Intelligence and Quantum Machine Learning at our expert-led Panel Discussion. This event brings together leading minds in AI and quantum computing to delve into the synergies and future...</itunes:subtitle><itunes:summary><![CDATA[Immerse yourself in the cutting-edge world of Artificial Intelligence and Quantum Machine Learning at our expert-led Panel Discussion. This event brings together leading minds in AI and quantum computing to delve into the synergies and future directions of these transformative technologies. Attendees will have the unique opportunity to engage with panelists, gain deep insights into the latest advancements, and network with professionals at the forefront of shaping the future of AI and quantum machine learning.<br /><br />Speakers:<br />Heike Riel | IBM Fellow, Head Science &amp; Technology, Lead - IBM Research<br />Karolos Potamianos | Ernest Rutherford Fellow - University of Warwick and Oxford<br />Nadia Carlsten | VP of Product - SandboxAQ<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2870</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/df5c4657d7d4007b9623dee7fd661a24.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Harnessing AI to Bridge the Gender Health Data Gap | AI House Davos 2024</title><link>https://www.spreaker.com/episode/harnessing-ai-to-bridge-the-gender-health-data-gap-ai-house-davos-2024--74882789</link><description><![CDATA[Harnessing the power of AI presents a golden opportunity to reshape women's healthcare. Historically hindered by gender biases, women's health can now leap forward with AI-driven innovations. This panel will spotlight how machine learning, fueled by diverse and inclusive data, can correct past imbalances and pave the way for a new era of women-centric health solutions, offering hope for more accurate diagnoses, effective treatments, and overall improved health outcomes for women.<br /><br /><br />Speakers:<br />Aditi Joshi, AI Program Lead - Google Cloud<br />Caitlin Kraft-Buchman, CEO &amp; Founder - Women At The Table<br />Neema Kaseje, Founder &amp; Director - Surgical Systems Research Group<br />Oriana Kraft, Founder &amp; Producer - FemTechnology<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364641</guid><pubDate>Tue, 23 Jan 2024 10:29:08 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882789/2095303673991364641.mp3" length="36607516" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Harnessing the power of AI presents a golden opportunity to reshape women's healthcare. Historically hindered by gender biases, women's health can now leap forward with AI-driven innovations. This panel will spotlight how machine learning, fueled by...</itunes:subtitle><itunes:summary><![CDATA[Harnessing the power of AI presents a golden opportunity to reshape women's healthcare. Historically hindered by gender biases, women's health can now leap forward with AI-driven innovations. This panel will spotlight how machine learning, fueled by diverse and inclusive data, can correct past imbalances and pave the way for a new era of women-centric health solutions, offering hope for more accurate diagnoses, effective treatments, and overall improved health outcomes for women.<br /><br /><br />Speakers:<br />Aditi Joshi, AI Program Lead - Google Cloud<br />Caitlin Kraft-Buchman, CEO &amp; Founder - Women At The Table<br />Neema Kaseje, Founder &amp; Director - Surgical Systems Research Group<br />Oriana Kraft, Founder &amp; Producer - FemTechnology<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2288</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/994a18b91b04c4ccdeee3b92de4dd9a0.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Unlocking the Potential of AI for Global Hidden Champions | AI House Davos 2024</title><link>https://www.spreaker.com/episode/unlocking-the-potential-of-ai-for-global-hidden-champions-ai-house-davos-2024--74882792</link><description><![CDATA[In comparison to larger enterprises, Global Hidden Champions exhibit specific challenges and opportunities in unlocking the promising potential of AI. On the one hand, there may be limited potential to adopt AI due to factors such as a shortage of knowledge, whereas on the other hand, factors such as flatter hierarchies and distinct centers of expertise, may create opportunities. The goal of this panel session is to kindle a discussion among relevant stakeholders, on how Global Hidden Champions can unlock the potential of AI.<br /><br /><br />Speakers:<br />Frauke Goll, Managing Director - Applied AI Institute for Europe<br />Helmut Krcmar, Co-Owner, ITM GmbH - Univ.-Prof. at TU München<br />Patrick Eichenseer, Head of Operational Excellence - DEHN SE<br />Timo Gessmann, CTO - Schunk<br /><br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364666</guid><pubDate>Tue, 23 Jan 2024 10:26:29 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882792/2095303673991364666.mp3" length="53540296" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>In comparison to larger enterprises, Global Hidden Champions exhibit specific challenges and opportunities in unlocking the promising potential of AI. On the one hand, there may be limited potential to adopt AI due to factors such as a shortage of...</itunes:subtitle><itunes:summary><![CDATA[In comparison to larger enterprises, Global Hidden Champions exhibit specific challenges and opportunities in unlocking the promising potential of AI. On the one hand, there may be limited potential to adopt AI due to factors such as a shortage of knowledge, whereas on the other hand, factors such as flatter hierarchies and distinct centers of expertise, may create opportunities. The goal of this panel session is to kindle a discussion among relevant stakeholders, on how Global Hidden Champions can unlock the potential of AI.<br /><br /><br />Speakers:<br />Frauke Goll, Managing Director - Applied AI Institute for Europe<br />Helmut Krcmar, Co-Owner, ITM GmbH - Univ.-Prof. at TU München<br />Patrick Eichenseer, Head of Operational Excellence - DEHN SE<br />Timo Gessmann, CTO - Schunk<br /><br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>3347</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/8b233e1b437cb70df431276d7a04e11f.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Harmony in Coexistence: Navigating the Future of Human-AI Partnership | AI House Davos 2024</title><link>https://www.spreaker.com/episode/harmony-in-coexistence-navigating-the-future-of-human-ai-partnership-ai-house-davos-2024--74882783</link><description><![CDATA[Explore the boundless possibilities of humans and AI harmoniously amplifying each other's strengths. Join us in a dialogue to unearth the social and physical facets of this evolving coexistence. How can we nurture collaboration for the greater good? What could the future interplay between humans and AI look like? And, what role does empathy play in shaping a positive future? Let's envision together!<br /><br /><br />Speakers:<br />Aurelio Cortese, Head of Dep. of Decoded Neurofeedback - Computational Neuroscience Labs, Advanced Telecommunications Research Institute International<br />Chris Luebkeman, Strategic Foresight, Office of the President - ETH Zürich<br />Guillem Martinez Roura, AI and Robotics Programme Officer - International Telecommunication Union (ITU)<br />James Landay, Co-founder and Vice Director - Stanford Institute for Human-Centered AI<br />Menna El-Assady, ETH AI Center Core Faculty &amp; Professor - ETH Zurich<br /><br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364611</guid><pubDate>Mon, 22 Jan 2024 14:53:47 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882783/2095303673991364611.mp3" length="45138063" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Explore the boundless possibilities of humans and AI harmoniously amplifying each other's strengths. Join us in a dialogue to unearth the social and physical facets of this evolving coexistence. How can we nurture collaboration for the greater good?...</itunes:subtitle><itunes:summary><![CDATA[Explore the boundless possibilities of humans and AI harmoniously amplifying each other's strengths. Join us in a dialogue to unearth the social and physical facets of this evolving coexistence. How can we nurture collaboration for the greater good? What could the future interplay between humans and AI look like? And, what role does empathy play in shaping a positive future? Let's envision together!<br /><br /><br />Speakers:<br />Aurelio Cortese, Head of Dep. of Decoded Neurofeedback - Computational Neuroscience Labs, Advanced Telecommunications Research Institute International<br />Chris Luebkeman, Strategic Foresight, Office of the President - ETH Zürich<br />Guillem Martinez Roura, AI and Robotics Programme Officer - International Telecommunication Union (ITU)<br />James Landay, Co-founder and Vice Director - Stanford Institute for Human-Centered AI<br />Menna El-Assady, ETH AI Center Core Faculty &amp; Professor - ETH Zurich<br /><br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2822</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/cfed1ac7e972d9d1cc194679f31ef717.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Transparency in AI | AI House Davos 2024</title><link>https://www.spreaker.com/episode/transparency-in-ai-ai-house-davos-2024--74882741</link><description><![CDATA[Establishing trust in AI relies on transparency. To realize this goal, we must overcome three critical challenges. How do we cultivate open-source AI, crucial for community development? How do we ensure clarity on data used in model training, handling copyright and bias concerns? How do we promote explainability, clearly delineating where AI is applicable and where it lacks maturity for extensive use? Join our session for a comprehensive exploration of AI transparency and its impact on trust and technology acceptance.<br /><br /><br />Speakers:<br />Hamilton Mann, Group Vice President, Global Digital Marketing, Digital Revenue Engine and Digital Transformation - Thales<br />Katherine Loh, Project Manager at Center for Digital Trust (C4DT) - EPFL<br />Laura Tocmacov, Managing Director - ImpactAI Foundation<br />Martin Jaggi, Professor Machine Learning, Computer Science - EPFL<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364619</guid><pubDate>Mon, 22 Jan 2024 13:05:42 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882741/2095303673991364619.mp3" length="39389452" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Establishing trust in AI relies on transparency. To realize this goal, we must overcome three critical challenges. How do we cultivate open-source AI, crucial for community development? How do we ensure clarity on data used in model training, handling...</itunes:subtitle><itunes:summary><![CDATA[Establishing trust in AI relies on transparency. To realize this goal, we must overcome three critical challenges. How do we cultivate open-source AI, crucial for community development? How do we ensure clarity on data used in model training, handling copyright and bias concerns? How do we promote explainability, clearly delineating where AI is applicable and where it lacks maturity for extensive use? Join our session for a comprehensive exploration of AI transparency and its impact on trust and technology acceptance.<br /><br /><br />Speakers:<br />Hamilton Mann, Group Vice President, Global Digital Marketing, Digital Revenue Engine and Digital Transformation - Thales<br />Katherine Loh, Project Manager at Center for Digital Trust (C4DT) - EPFL<br />Laura Tocmacov, Managing Director - ImpactAI Foundation<br />Martin Jaggi, Professor Machine Learning, Computer Science - EPFL<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2462</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/699a547a53d27a3f3e91990fbbc177b8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>European Sovereignty &amp; Public Institutions in the AI Era | AI House Davos 2024</title><link>https://www.spreaker.com/episode/european-sovereignty-public-institutions-in-the-ai-era-ai-house-davos-2024--74882805</link><description><![CDATA[Join us to explore Europe and Germany's role in AI development, covering topics like regulatory frameworks, technology leadership as well as strategic investments in AI research and education.<br /><br /><br />Speakers:<br />Christian Lindner, Federal Minister of Finance - Germany<br />Jochen Wegner, Editor-in-Chief - ZEIT ONLINE<br />Jonas Andrulis, Founder &amp; CEO - AlephAlpha<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364613</guid><pubDate>Mon, 22 Jan 2024 13:01:47 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882805/2095303673991364613.mp3" length="58943672" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Join us to explore Europe and Germany's role in AI development, covering topics like regulatory frameworks, technology leadership as well as strategic investments in AI research and education.


Speakers:
Christian Lindner, Federal Minister of Finance...</itunes:subtitle><itunes:summary><![CDATA[Join us to explore Europe and Germany's role in AI development, covering topics like regulatory frameworks, technology leadership as well as strategic investments in AI research and education.<br /><br /><br />Speakers:<br />Christian Lindner, Federal Minister of Finance - Germany<br />Jochen Wegner, Editor-in-Chief - ZEIT ONLINE<br />Jonas Andrulis, Founder &amp; CEO - AlephAlpha<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>3684</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/7f1acae4d55403658318f21a0f12a004.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Will AI create the next tech giants? | AI House Davos 2024</title><link>https://www.spreaker.com/episode/will-ai-create-the-next-tech-giants-ai-house-davos-2024--74882773</link><description><![CDATA[Will disruptive generative AI companies take on and surpass hyperscalers? This panel discussion brings together some of the world's thought leaders to explore the role of artificial intelligence in shaping the future of tech giants. The discussion will span the role AI plays in the creation, growth and destruction of tech companies, ultimately influencing the landscape of global business, innovation and society.<br /><br /><br />Speakers:<br />Isabelle Siegrist, Board Member - ETH AI Center &amp; S2S<br />Leigh Marie Braswell, Partner - Kleiner Perkins<br />Luna Schmid, Partner - Google Ventures<br />Thomas Alt, Founder / Partner - ramblr AI / Atlantic Bridge<br /><br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364665</guid><pubDate>Mon, 22 Jan 2024 12:46:48 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882773/2095303673991364665.mp3" length="47854379" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Will disruptive generative AI companies take on and surpass hyperscalers? This panel discussion brings together some of the world's thought leaders to explore the role of artificial intelligence in shaping the future of tech giants. The discussion...</itunes:subtitle><itunes:summary><![CDATA[Will disruptive generative AI companies take on and surpass hyperscalers? This panel discussion brings together some of the world's thought leaders to explore the role of artificial intelligence in shaping the future of tech giants. The discussion will span the role AI plays in the creation, growth and destruction of tech companies, ultimately influencing the landscape of global business, innovation and society.<br /><br /><br />Speakers:<br />Isabelle Siegrist, Board Member - ETH AI Center &amp; S2S<br />Leigh Marie Braswell, Partner - Kleiner Perkins<br />Luna Schmid, Partner - Google Ventures<br />Thomas Alt, Founder / Partner - ramblr AI / Atlantic Bridge<br /><br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2991</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/8501a911e4c369facbab7942c0c5b79a.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Swiss AI Initiative: Regional Contributions to a Global Development | AI House Davos 2024</title><link>https://www.spreaker.com/episode/swiss-ai-initiative-regional-contributions-to-a-global-development-ai-house-davos-2024--74882761</link><description><![CDATA[The Swiss AI Initiative calls for a coordinated effort for a neutral, trustworthy generative AI. Under the umbrella of the ETH/EPF AI centers in Zurich and Lausanne, it aims to develop specialized large-scale AI models and partner with the industry on AI applications that impact society in a socially responsible manner. Embark on a journey with experts to unpack the goals of the Initiative, explore the challenges and opportunities in AI development, and spark a dialogue on how collaborative efforts could shape the future of responsible technology development.<br /><br /><br />Speakers:<br />Ana Klimovic, Steering Committee Swiss AI and Professor - ETH Zürich<br />Andreas Krause, Academic director ETHZ AI Center, Steering Committee SDSC / Swiss AI and Professor - ETH Zurich<br />Antoine Bosselut, Steering Committee Swiss AI and Professor - EPFL<br />Sabine Süsstrunk, President Swiss Science Council and Professor - EPFL<br />Jan Hesthaven, Vice-president for Academic Affairs and Professor - EPFL<br />Marc Walder, digitalswitzerland founder and CEO - Ringier AG<br /><br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364634</guid><pubDate>Mon, 22 Jan 2024 11:43:13 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882761/2095303673991364634.mp3" length="38136828" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>The Swiss AI Initiative calls for a coordinated effort for a neutral, trustworthy generative AI. Under the umbrella of the ETH/EPF AI centers in Zurich and Lausanne, it aims to develop specialized large-scale AI models and partner with the industry on...</itunes:subtitle><itunes:summary><![CDATA[The Swiss AI Initiative calls for a coordinated effort for a neutral, trustworthy generative AI. Under the umbrella of the ETH/EPF AI centers in Zurich and Lausanne, it aims to develop specialized large-scale AI models and partner with the industry on AI applications that impact society in a socially responsible manner. Embark on a journey with experts to unpack the goals of the Initiative, explore the challenges and opportunities in AI development, and spark a dialogue on how collaborative efforts could shape the future of responsible technology development.<br /><br /><br />Speakers:<br />Ana Klimovic, Steering Committee Swiss AI and Professor - ETH Zürich<br />Andreas Krause, Academic director ETHZ AI Center, Steering Committee SDSC / Swiss AI and Professor - ETH Zurich<br />Antoine Bosselut, Steering Committee Swiss AI and Professor - EPFL<br />Sabine Süsstrunk, President Swiss Science Council and Professor - EPFL<br />Jan Hesthaven, Vice-president for Academic Affairs and Professor - EPFL<br />Marc Walder, digitalswitzerland founder and CEO - Ringier AG<br /><br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2384</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/6b26fa21a7b266a1e8a76be290c5598c.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI*Space | AI House Davos 2024</title><link>https://www.spreaker.com/episode/ai-space-ai-house-davos-2024--74882745</link><description><![CDATA[With the number of satellites in Earth orbit projected to exceed 100,000 in the next decade, the amount of data collected is increasing and AI data processing tools are employed for situational awareness, particle physics research, climate monitoring and many others. As humanity reaches out to other planets, the time necessary to communicate at the speed of light exceeds minutes and prohibits the use of final-state machines controlled from the Earth. AI-controlled systems will have to be humanity’s ambassadors, especially when urgent decision making is necessary. In this panel, we will discuss the challenges and opportunities presented in the crossroads of space and AI.<br /><br /><br />Speakers:<br />Bilge Demirkoz, Professor Of Physics - Middle East Technical University<br />Brian Schmidt, Vice Chancellor and President - The Australian National University<br />Daniel Dobos, Research Director - Swisscom<br />Josef Aschbacher, Director General - European Space Agency<br />Matthias Maurer, Astronaut - European Space Agency - ESA<br />Olivier Oullier, Founder &amp; CEO, Inclusive Brains - Chairman, Institute for Artificial Intelligence by Biotech<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364673</guid><pubDate>Mon, 22 Jan 2024 08:29:17 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882745/2095303673991364673.mp3" length="40874879" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>With the number of satellites in Earth orbit projected to exceed 100,000 in the next decade, the amount of data collected is increasing and AI data processing tools are employed for situational awareness, particle physics research, climate monitoring...</itunes:subtitle><itunes:summary><![CDATA[With the number of satellites in Earth orbit projected to exceed 100,000 in the next decade, the amount of data collected is increasing and AI data processing tools are employed for situational awareness, particle physics research, climate monitoring and many others. As humanity reaches out to other planets, the time necessary to communicate at the speed of light exceeds minutes and prohibits the use of final-state machines controlled from the Earth. AI-controlled systems will have to be humanity’s ambassadors, especially when urgent decision making is necessary. In this panel, we will discuss the challenges and opportunities presented in the crossroads of space and AI.<br /><br /><br />Speakers:<br />Bilge Demirkoz, Professor Of Physics - Middle East Technical University<br />Brian Schmidt, Vice Chancellor and President - The Australian National University<br />Daniel Dobos, Research Director - Swisscom<br />Josef Aschbacher, Director General - European Space Agency<br />Matthias Maurer, Astronaut - European Space Agency - ESA<br />Olivier Oullier, Founder &amp; CEO, Inclusive Brains - Chairman, Institute for Artificial Intelligence by Biotech<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2555</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/f6eb8ff9cbbc38db4ac69778df89a442.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI for Science: Solving the world’s scientific challenges | AI House Davos 2024</title><link>https://www.spreaker.com/episode/ai-for-science-solving-the-world-s-scientific-challenges-ai-house-davos-2024--74882825</link><description><![CDATA[Hewlett Packard Enterprise brings together scientists from leading research organizations, government, and technology to discuss how through the power of public-private partnerships, co-investment, and co-development of accessible and open technologies, AI will drive breakthrough scientific discoveries.<br /><br /><br />Speakers:<br />Doug Arent, Executive Director, Strategic Public-Private Partnerships - NREL<br />Neil MacDonald, Executive Vice President &amp; General Manager Compute - Hewlett Packard Enterprise<br />Trish Damkroger, Senior Vice President and Chief Product Officer, HPC &amp; AI - Hewlett Packard Enterprise<br />Liviu Stirbat, Head of Unit for AI in Science - European Commission<br />Joost VandeVondele, Deputy Director for Science - CSCS, ETH Zurich<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364656</guid><pubDate>Mon, 22 Jan 2024 08:27:52 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882825/2095303673991364656.mp3" length="53954494" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Hewlett Packard Enterprise brings together scientists from leading research organizations, government, and technology to discuss how through the power of public-private partnerships, co-investment, and co-development of accessible and open...</itunes:subtitle><itunes:summary><![CDATA[Hewlett Packard Enterprise brings together scientists from leading research organizations, government, and technology to discuss how through the power of public-private partnerships, co-investment, and co-development of accessible and open technologies, AI will drive breakthrough scientific discoveries.<br /><br /><br />Speakers:<br />Doug Arent, Executive Director, Strategic Public-Private Partnerships - NREL<br />Neil MacDonald, Executive Vice President &amp; General Manager Compute - Hewlett Packard Enterprise<br />Trish Damkroger, Senior Vice President and Chief Product Officer, HPC &amp; AI - Hewlett Packard Enterprise<br />Liviu Stirbat, Head of Unit for AI in Science - European Commission<br />Joost VandeVondele, Deputy Director for Science - CSCS, ETH Zurich<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>3373</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/810f88d7dde241c5f3ccc85f2e64ad6d.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Including the World | AI House Davos 2024</title><link>https://www.spreaker.com/episode/including-the-world-ai-house-davos-2024--74882796</link><description><![CDATA[Over 3bn people do not have access to the internet. This will inevitably result in users and losers of AI both globally and nationally. Without good data from all of us the internet will continue to reflect outdated views of who rules the world and will keep new ideas at bay. This is likely to continue the current trend of the dominance of the Global North in thought and economy creating geopolitical issues around AI as well as furthering inequity. How can we move forward with inclusivity in AI?<br /><br /><br />Speakers:<br />Janna Salokangas, Co-Founder - Mission Impact Academy<br />Kay Firth-Butterfield, CEO - Good Tech Advisory<br />Olivier Oullier, Founder &amp; CEO, Inclusive Brains - Chairman, Institute for Artificial Intelligence by Biotech<br />Sneha Revanur, Founder and President - Encode Justice<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364663</guid><pubDate>Fri, 19 Jan 2024 10:38:45 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882796/2095303673991364663.mp3" length="41498056" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Over 3bn people do not have access to the internet. This will inevitably result in users and losers of AI both globally and nationally. Without good data from all of us the internet will continue to reflect outdated views of who rules the world and...</itunes:subtitle><itunes:summary><![CDATA[Over 3bn people do not have access to the internet. This will inevitably result in users and losers of AI both globally and nationally. Without good data from all of us the internet will continue to reflect outdated views of who rules the world and will keep new ideas at bay. This is likely to continue the current trend of the dominance of the Global North in thought and economy creating geopolitical issues around AI as well as furthering inequity. How can we move forward with inclusivity in AI?<br /><br /><br />Speakers:<br />Janna Salokangas, Co-Founder - Mission Impact Academy<br />Kay Firth-Butterfield, CEO - Good Tech Advisory<br />Olivier Oullier, Founder &amp; CEO, Inclusive Brains - Chairman, Institute for Artificial Intelligence by Biotech<br />Sneha Revanur, Founder and President - Encode Justice<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2594</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/f61085967a9e02a050c9018f529b9cd2.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI in Entertainment and Art | AI House Davos 2024</title><link>https://www.spreaker.com/episode/ai-in-entertainment-and-art-ai-house-davos-2024--74882743</link><description><![CDATA[Generative AI brings transformative change to media, art, and entertainment. It innovates in dynamic art generation, AI-powered entertainment quizzes, and revolutionary AI video editing, enhancing content creation efficiency. <br /><br />However, a critical view emphasizes concerns around potential biases, ethical implications, and the loss of human touch in creative processes. In sports, AI, streaming, and IoT redefine analytics, but questions about privacy and authentic fan connections emerge with personalized engagement.<br /><br />Speakers:<br />Christian Müller, Co-Founder &amp; Managing Director - Partners for Sports<br />Cyril Treptow, Head of Digitalization - blue Entertainment<br />Ferdi &amp; Eylul Alıcı, Director and Founder &amp; AI House Davos Commission main artist - Ouchhh<br />Sven Bethke, Head of Media &amp; Events - Swisscom Broadcast<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364629</guid><pubDate>Fri, 19 Jan 2024 10:32:23 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882743/2095303673991364629.mp3" length="40419303" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Generative AI brings transformative change to media, art, and entertainment. It innovates in dynamic art generation, AI-powered entertainment quizzes, and revolutionary AI video editing, enhancing content creation efficiency. 

However, a critical...</itunes:subtitle><itunes:summary><![CDATA[Generative AI brings transformative change to media, art, and entertainment. It innovates in dynamic art generation, AI-powered entertainment quizzes, and revolutionary AI video editing, enhancing content creation efficiency. <br /><br />However, a critical view emphasizes concerns around potential biases, ethical implications, and the loss of human touch in creative processes. In sports, AI, streaming, and IoT redefine analytics, but questions about privacy and authentic fan connections emerge with personalized engagement.<br /><br />Speakers:<br />Christian Müller, Co-Founder &amp; Managing Director - Partners for Sports<br />Cyril Treptow, Head of Digitalization - blue Entertainment<br />Ferdi &amp; Eylul Alıcı, Director and Founder &amp; AI House Davos Commission main artist - Ouchhh<br />Sven Bethke, Head of Media &amp; Events - Swisscom Broadcast<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2527</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/9a1329beb44f82c600dd8ab491f177e6.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI for Humanitarian and Development applications | AI House Davos 2024</title><link>https://www.spreaker.com/episode/ai-for-humanitarian-and-development-applications-ai-house-davos-2024--74882793</link><description><![CDATA[This event explores the critical role of AI in achieving the United Nations' Sustainable Development Goals (SDGs), focusing on perspectives and applications across various sectors. We aim to address the challenges and potential of AI, particularly in low- and middle-income countries, and facilitate collaborations between international organizations and AI experts to showcase scalable solutions and share best practices for sustainable global development.<br /><br /><br />Speakers:<br />Alexandre Cabaret, Senior Director, Partnerships - Devex<br />Bernhard Kowatsch, Head of Innovation Accelerator - UN World Food Programme<br />Emmanuel Letouzé, Director - Data-Pop Alliance<br />Kate Behncken, Corporate Vice President - Microsoft Philanthropies<br />Lauren Woodman, CEO - DataKind<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364632</guid><pubDate>Fri, 19 Jan 2024 10:26:26 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882793/2095303673991364632.mp3" length="46138239" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>This event explores the critical role of AI in achieving the United Nations' Sustainable Development Goals (SDGs), focusing on perspectives and applications across various sectors. We aim to address the challenges and potential of AI, particularly in...</itunes:subtitle><itunes:summary><![CDATA[This event explores the critical role of AI in achieving the United Nations' Sustainable Development Goals (SDGs), focusing on perspectives and applications across various sectors. We aim to address the challenges and potential of AI, particularly in low- and middle-income countries, and facilitate collaborations between international organizations and AI experts to showcase scalable solutions and share best practices for sustainable global development.<br /><br /><br />Speakers:<br />Alexandre Cabaret, Senior Director, Partnerships - Devex<br />Bernhard Kowatsch, Head of Innovation Accelerator - UN World Food Programme<br />Emmanuel Letouzé, Director - Data-Pop Alliance<br />Kate Behncken, Corporate Vice President - Microsoft Philanthropies<br />Lauren Woodman, CEO - DataKind<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2884</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/484abdcceb02784a35c119e034aa5e43.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Intelligent Edge: Connecting people, places and things with AI | AI House Davos 2024</title><link>https://www.spreaker.com/episode/intelligent-edge-connecting-people-places-and-things-with-ai-ai-house-davos-2024--74882776</link><description><![CDATA[Join us for a thought-provoking journey to the edge of computing, where AI meets human empathy. In this session, we'll explore how emerging technologies are woven into the very fabric of our daily lives, acting not merely as tools but as intuitive partners enhancing our interactions with the world around us. Discover the art of possible when AI, attuned to our realities, deepens the connective tissue between people, places, and things. Engage in a dialogue that dismantles industry barriers, illuminating a future, where technology is crafted by us, for us, and with us.<br /><br /><br />Speakers:<br />Nicole Büttner, CEO Merantix Momentum<br />Alex Kipman, Inventor<br />Gabriel Rene, CEO - Verses<br />Prashanth Marpu, VP of R&amp;D - Bayanat.AI<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364669</guid><pubDate>Fri, 19 Jan 2024 10:04:30 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882776/2095303673991364669.mp3" length="44099434" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Join us for a thought-provoking journey to the edge of computing, where AI meets human empathy. In this session, we'll explore how emerging technologies are woven into the very fabric of our daily lives, acting not merely as tools but as intuitive...</itunes:subtitle><itunes:summary><![CDATA[Join us for a thought-provoking journey to the edge of computing, where AI meets human empathy. In this session, we'll explore how emerging technologies are woven into the very fabric of our daily lives, acting not merely as tools but as intuitive partners enhancing our interactions with the world around us. Discover the art of possible when AI, attuned to our realities, deepens the connective tissue between people, places, and things. Engage in a dialogue that dismantles industry barriers, illuminating a future, where technology is crafted by us, for us, and with us.<br /><br /><br />Speakers:<br />Nicole Büttner, CEO Merantix Momentum<br />Alex Kipman, Inventor<br />Gabriel Rene, CEO - Verses<br />Prashanth Marpu, VP of R&amp;D - Bayanat.AI<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2757</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/718de2b5563e4c7112ae5adb7520ec33.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI and the Future Factory | AI House Davos 2024</title><link>https://www.spreaker.com/episode/ai-and-the-future-factory-ai-house-davos-2024--74882788</link><description><![CDATA[How will AI shape the future of work in manufacturing? Will we finally realize the vision of the self-aware, lights-out factory? Beyond predictive maintenance, energy management, and quality inspection, what are the most promising AI use cases? Is Generative AI the next big thing for manufacturing, or just hype? What is the role of humans, and what will human work look like in the AI-driven factory? This moderated panel debate will provide answers to these and other questions.<br /><br /><br />Speakers:<br />Alexandra Brintrup, Professor of Digital Manufacturing and Head of Supply Chain AI Lab - Cambridge University<br />Eric Enselme, Executive Fellow Center for Advanced Manufacturing and Supply Chains - World Economic Forum<br />Gunter Beitinger, Head of Factory Digitalization - SVP Siemens<br />Julian Senoner, CEO - EthonAI<br />Torbjørn Netland, Professor and Head of Chair of Production and Operations Management - ETH Zurich<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364614</guid><pubDate>Fri, 19 Jan 2024 10:02:47 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882788/2095303673991364614.mp3" length="56830053" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>How will AI shape the future of work in manufacturing? Will we finally realize the vision of the self-aware, lights-out factory? Beyond predictive maintenance, energy management, and quality inspection, what are the most promising AI use cases? Is...</itunes:subtitle><itunes:summary><![CDATA[How will AI shape the future of work in manufacturing? Will we finally realize the vision of the self-aware, lights-out factory? Beyond predictive maintenance, energy management, and quality inspection, what are the most promising AI use cases? Is Generative AI the next big thing for manufacturing, or just hype? What is the role of humans, and what will human work look like in the AI-driven factory? This moderated panel debate will provide answers to these and other questions.<br /><br /><br />Speakers:<br />Alexandra Brintrup, Professor of Digital Manufacturing and Head of Supply Chain AI Lab - Cambridge University<br />Eric Enselme, Executive Fellow Center for Advanced Manufacturing and Supply Chains - World Economic Forum<br />Gunter Beitinger, Head of Factory Digitalization - SVP Siemens<br />Julian Senoner, CEO - EthonAI<br />Torbjørn Netland, Professor and Head of Chair of Production and Operations Management - ETH Zurich<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>3552</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/d6dc9865a687de036a2826cbe2f1402b.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI &amp; Connectivity | AI House Davos 2024</title><link>https://www.spreaker.com/episode/ai-connectivity-ai-house-davos-2024--74882787</link><description><![CDATA[Many complex system companies face operational challenges and increased costs due to unforeseen system failures, which impact customer satisfaction. AI-based predictive maintenance solutions, utilizing a diverse dataset are used to proactively detect and address such issues. These approaches not only improve service quality, but also enhance sustainability by optimizing resources and reducing carbon emissions. The use of advanced AI models, including recommender systems and GenAI, marks new standards in operational efficiency and environmental sustainability.<br /><br /><br />Speakers:<br />Ankur Jain, VP - Google Cloud for Telecommunications Industry and Google Distributed Cloud<br />Gerd Niehage, CTO &amp; CIO - Swisscom<br />Jenny Lindqvist, Senior Vice President, Head of Market Area Europe &amp; Latin America - Ericsson<br />Mark Düsener, Executive Vice President Mobile Network &amp; Services - Swisscom (Switzerland) Ltd<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364672</guid><pubDate>Fri, 19 Jan 2024 10:02:29 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882787/2095303673991364672.mp3" length="45470758" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Many complex system companies face operational challenges and increased costs due to unforeseen system failures, which impact customer satisfaction. AI-based predictive maintenance solutions, utilizing a diverse dataset are used to proactively detect...</itunes:subtitle><itunes:summary><![CDATA[Many complex system companies face operational challenges and increased costs due to unforeseen system failures, which impact customer satisfaction. AI-based predictive maintenance solutions, utilizing a diverse dataset are used to proactively detect and address such issues. These approaches not only improve service quality, but also enhance sustainability by optimizing resources and reducing carbon emissions. The use of advanced AI models, including recommender systems and GenAI, marks new standards in operational efficiency and environmental sustainability.<br /><br /><br />Speakers:<br />Ankur Jain, VP - Google Cloud for Telecommunications Industry and Google Distributed Cloud<br />Gerd Niehage, CTO &amp; CIO - Swisscom<br />Jenny Lindqvist, Senior Vice President, Head of Market Area Europe &amp; Latin America - Ericsson<br />Mark Düsener, Executive Vice President Mobile Network &amp; Services - Swisscom (Switzerland) Ltd<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2842</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/57c00043e79ce653fe64fa9800a89b5a.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Driving Economic Growth with AI in a Productivity-Challenged Future | AI House Davos 2024</title><link>https://www.spreaker.com/episode/driving-economic-growth-with-ai-in-a-productivity-challenged-future-ai-house-davos-2024--74882816</link><description><![CDATA[This panel will explore how businesses can harness the vast potential of artificial intelligence (AI) to drive business transformation and economic growth in a future that is growth-constrained and productivity-challenged. The discussion will focus on how AI and intelligent automation will transform various industries, empower employees, free up capital, and lead to significant company and GDP growth. Research suggests that AI may contribute over $15 trillion to the global GDP by 2030. The discussion will cover industry-specific applications of AI, workforce development strategies, investment insights, and the ethical use of AI. <br /><br /><br />Speakers:<br />Arvind Krishna, CEO - IBM<br />Manish Sharma, CEO - Accenture America<br />Mihir Shukla, CEO - Automation Anywhere<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364659</guid><pubDate>Fri, 19 Jan 2024 10:02:04 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882816/2095303673991364659.mp3" length="39957458" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>This panel will explore how businesses can harness the vast potential of artificial intelligence (AI) to drive business transformation and economic growth in a future that is growth-constrained and productivity-challenged. The discussion will focus on...</itunes:subtitle><itunes:summary><![CDATA[This panel will explore how businesses can harness the vast potential of artificial intelligence (AI) to drive business transformation and economic growth in a future that is growth-constrained and productivity-challenged. The discussion will focus on how AI and intelligent automation will transform various industries, empower employees, free up capital, and lead to significant company and GDP growth. Research suggests that AI may contribute over $15 trillion to the global GDP by 2030. The discussion will cover industry-specific applications of AI, workforce development strategies, investment insights, and the ethical use of AI. <br /><br /><br />Speakers:<br />Arvind Krishna, CEO - IBM<br />Manish Sharma, CEO - Accenture America<br />Mihir Shukla, CEO - Automation Anywhere<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2498</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/38d21bb073bbca124a8f37ec4d3fb849.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI and Higher Education | AI House Davos 2024</title><link>https://www.spreaker.com/episode/ai-and-higher-education-ai-house-davos-2024--74882811</link><description><![CDATA[With presidents from leading universities as panelists, this panel has two objectives. One is to advance higher education by addressing the challenges posed by generative AI and promoting its utilization. The other is to contemplate how higher education, especially university education, should evolve as generative AI progressively replaces many aspects of human intelligence.<br /><br /><br />Speakers:<br />Eng Chye Tan, President - National University of Singapore<br />Irene Tracey, Vice-Chancellor - University of Oxford<br />Kohei Itoh, President - Keio University<br />Paul Alivisatos, President - University of Chicago<br />Teruo Fujii, President - The University of Tokyo<br />Brian P. Schmidt - Australian Nobel Prize Winner <br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364643</guid><pubDate>Fri, 19 Jan 2024 10:01:42 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882811/2095303673991364643.mp3" length="52245876" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>With presidents from leading universities as panelists, this panel has two objectives. One is to advance higher education by addressing the challenges posed by generative AI and promoting its utilization. The other is to contemplate how higher...</itunes:subtitle><itunes:summary><![CDATA[With presidents from leading universities as panelists, this panel has two objectives. One is to advance higher education by addressing the challenges posed by generative AI and promoting its utilization. The other is to contemplate how higher education, especially university education, should evolve as generative AI progressively replaces many aspects of human intelligence.<br /><br /><br />Speakers:<br />Eng Chye Tan, President - National University of Singapore<br />Irene Tracey, Vice-Chancellor - University of Oxford<br />Kohei Itoh, President - Keio University<br />Paul Alivisatos, President - University of Chicago<br />Teruo Fujii, President - The University of Tokyo<br />Brian P. Schmidt - Australian Nobel Prize Winner <br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>3266</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/ec0fe92a5dcb68ee03ccea82417cde2c.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Frontier Tech Breakfast | AI House Davos 2024</title><link>https://www.spreaker.com/episode/frontier-tech-breakfast-ai-house-davos-2024--74882736</link><description><![CDATA[As technologies are making rapid advancements, we see the convergence of three main technologies that will alter the course of humanity for the better: Artificial Intelligence, Quantum and Longevity. In this breakfast session, we want to map out a way in which we can connect the dots towards enabling a better future for all.<br /><br />Speakers:<br />Rasmus Rothe, Founder - Merantix<br />Evelyne Bischof, Founding VP - Healthy Longevity Medicine Society<br />Jeremy Wertheimer, CEO - ITA Software<br />Reed Albergotti, Technology Editor - Semafor<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364622</guid><pubDate>Fri, 19 Jan 2024 09:55:04 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882736/2095303673991364622.mp3" length="35453948" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>As technologies are making rapid advancements, we see the convergence of three main technologies that will alter the course of humanity for the better: Artificial Intelligence, Quantum and Longevity. In this breakfast session, we want to map out a way...</itunes:subtitle><itunes:summary><![CDATA[As technologies are making rapid advancements, we see the convergence of three main technologies that will alter the course of humanity for the better: Artificial Intelligence, Quantum and Longevity. In this breakfast session, we want to map out a way in which we can connect the dots towards enabling a better future for all.<br /><br />Speakers:<br />Rasmus Rothe, Founder - Merantix<br />Evelyne Bischof, Founding VP - Healthy Longevity Medicine Society<br />Jeremy Wertheimer, CEO - ITA Software<br />Reed Albergotti, Technology Editor - Semafor<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2216</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/754816b420ab05ca81a88948bba08692.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI Investors Lunch | AI House Davos 2024</title><link>https://www.spreaker.com/episode/ai-investors-lunch-ai-house-davos-2024--74882802</link><description><![CDATA[In the current investment climate, how might we best tackle Artificial Intelligence, to make sure that we fund a better future for all? The AI Investors Lunch is an event to connect with peers and see how we can best support and engage with the global AI  investment landscape. In a short panel discussion, we want to give a high-level overview of the current investing climate, the challenges and hurdles facing investors in this field as well as give some advice on how to best navigate this field towards bringing this technology to a fruitful and more sustainable future.<br /><br />Speakers:<br />Wei Li, Global Chief Investment Strategist - Blackrock<br />Adrian Locher, CEO and Co-Founder - Merantix<br />Zachary Bogue, Cofounder and Managing Partner - DCVC<br />Moritz Baier-Lentz, Partner - Lightspeed<br />Carlos Rangel, Chief Investment Officer - W.K. Kellogg Foundation<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364646</guid><pubDate>Fri, 19 Jan 2024 09:54:13 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882802/2095303673991364646.mp3" length="42603976" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>In the current investment climate, how might we best tackle Artificial Intelligence, to make sure that we fund a better future for all? The AI Investors Lunch is an event to connect with peers and see how we can best support and engage with the global...</itunes:subtitle><itunes:summary><![CDATA[In the current investment climate, how might we best tackle Artificial Intelligence, to make sure that we fund a better future for all? The AI Investors Lunch is an event to connect with peers and see how we can best support and engage with the global AI  investment landscape. In a short panel discussion, we want to give a high-level overview of the current investing climate, the challenges and hurdles facing investors in this field as well as give some advice on how to best navigate this field towards bringing this technology to a fruitful and more sustainable future.<br /><br />Speakers:<br />Wei Li, Global Chief Investment Strategist - Blackrock<br />Adrian Locher, CEO and Co-Founder - Merantix<br />Zachary Bogue, Cofounder and Managing Partner - DCVC<br />Moritz Baier-Lentz, Partner - Lightspeed<br />Carlos Rangel, Chief Investment Officer - W.K. Kellogg Foundation<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2663</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/4e500da89f60e737bf15e3894489f8cb.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Transforming Healthcare with AI | AI House Davos 2024</title><link>https://www.spreaker.com/episode/transforming-healthcare-with-ai-ai-house-davos-2024--74882757</link><description><![CDATA[Dive into the Future of Health with AI: What's the current state? Is AI the gateway to personalized care? Join the conversation with experts and leaders from academia, industry, government, and clinical practice to explore the emerging challenges and opportunities related to AI's impact across the spectrum of healthcare. This session will provide a comprehensive overview of AI's role in healthcare, offering diverse perspectives and real-world applications. Attendees will gain valuable insights into the collaborative efforts shaping the future of personalized and preventative care.<br /><br /><br />Speakers:<br />Ashish Koshy, Group Chief Operating Officer - M42 Health<br />Daniella Foster, Senior Vice President and Global Head of Public Affairs, Science and Sustainability - Bayer<br />Elena Bonfiglioli, Global Business Leader, GM Healthcare, Pharma Life Sciences - Microsoft<br />Evelyne Bischof, Founding VP - Healthy Longevity Medicine Society<br />John Defterios, Professor of Business - New York University Abu Dhabi<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364612</guid><pubDate>Thu, 18 Jan 2024 18:18:04 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882757/2095303673991364612.mp3" length="43556923" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Dive into the Future of Health with AI: What's the current state? Is AI the gateway to personalized care? Join the conversation with experts and leaders from academia, industry, government, and clinical practice to explore the emerging challenges and...</itunes:subtitle><itunes:summary><![CDATA[Dive into the Future of Health with AI: What's the current state? Is AI the gateway to personalized care? Join the conversation with experts and leaders from academia, industry, government, and clinical practice to explore the emerging challenges and opportunities related to AI's impact across the spectrum of healthcare. This session will provide a comprehensive overview of AI's role in healthcare, offering diverse perspectives and real-world applications. Attendees will gain valuable insights into the collaborative efforts shaping the future of personalized and preventative care.<br /><br /><br />Speakers:<br />Ashish Koshy, Group Chief Operating Officer - M42 Health<br />Daniella Foster, Senior Vice President and Global Head of Public Affairs, Science and Sustainability - Bayer<br />Elena Bonfiglioli, Global Business Leader, GM Healthcare, Pharma Life Sciences - Microsoft<br />Evelyne Bischof, Founding VP - Healthy Longevity Medicine Society<br />John Defterios, Professor of Business - New York University Abu Dhabi<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2723</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/b219df7db5fbcb1674b66b47fb5c1e42.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI in Peace and Conflict | AI House Davos 2024</title><link>https://www.spreaker.com/episode/ai-in-peace-and-conflict-ai-house-davos-2024--74882826</link><description><![CDATA[The use or misuse of AI in armed conflict has received relatively little attention in international debates on AI safety, in particular risks associated with AI-driven weapons and decision-making. This conversation between AI experts and specialists in human rights and humanitarian action will shed light on strategies to tackle key risks raised by AI in armed conflict.<br /><br /><br />Speakers:<br />Gilles Carbonnier, Prof. Vice President - International Committee of the Red Cross - ICRC<br />Neil Davison, Senior Adviser - International Committee of the Red Cross - ICRC<br />Peggy Hicks, Director, Thematic Engagement, Special Procedures &amp; Right to Development Division - OHCHR<br />Raj Kumar, President &amp; Editor-in-Chief - Devex<br />Stuart Russell, Professor of Computer Science - UC Berkeley<br />Teresa Hutson, Microsoft Technology for Fundamental Rights - Corporate Vice President<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364616</guid><pubDate>Thu, 18 Jan 2024 17:11:04 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882826/2095303673991364616.mp3" length="58022908" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>The use or misuse of AI in armed conflict has received relatively little attention in international debates on AI safety, in particular risks associated with AI-driven weapons and decision-making. This conversation between AI experts and specialists...</itunes:subtitle><itunes:summary><![CDATA[The use or misuse of AI in armed conflict has received relatively little attention in international debates on AI safety, in particular risks associated with AI-driven weapons and decision-making. This conversation between AI experts and specialists in human rights and humanitarian action will shed light on strategies to tackle key risks raised by AI in armed conflict.<br /><br /><br />Speakers:<br />Gilles Carbonnier, Prof. Vice President - International Committee of the Red Cross - ICRC<br />Neil Davison, Senior Adviser - International Committee of the Red Cross - ICRC<br />Peggy Hicks, Director, Thematic Engagement, Special Procedures &amp; Right to Development Division - OHCHR<br />Raj Kumar, President &amp; Editor-in-Chief - Devex<br />Stuart Russell, Professor of Computer Science - UC Berkeley<br />Teresa Hutson, Microsoft Technology for Fundamental Rights - Corporate Vice President<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>3627</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/cb0c1d7e77d6d0f9d3a0e14b10ce53d8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Unleashing the power of LLMs in the Enterprise | AI House Davos 2024</title><link>https://www.spreaker.com/episode/unleashing-the-power-of-llms-in-the-enterprise-ai-house-davos-2024--74882834</link><description><![CDATA[The panel will focus on the intricacies and challenges of formulating international AI regulations. It will compare different approaches, such as the G7's self-regulation model and the UNs' global convention aspirations, while debating the efficacy of sector-specific versus broad regulatory frameworks, as exemplified by the EU AI Act. The discussion aims to explore the balance between innovation and compliance, and how to harmonize these regulations while considering regional and national interests.<br /><br /><br />Speakers:<br />Brad Lightcap, COO - OpenAI<br />Gabriele Ricci, Chief Data and Technology Officer - Takeda<br />James Landay, Co-founder and Vice Director - Stanford Institute for Human-Centered AI<br />Keith Strier, VP, Worldwide AI - NVIDIA<br />Nicola Morini Bianzino, Global Chief Technology Officer - EY<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364620</guid><pubDate>Thu, 18 Jan 2024 16:38:22 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882834/2095303673991364620.mp3" length="40215339" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>The panel will focus on the intricacies and challenges of formulating international AI regulations. It will compare different approaches, such as the G7's self-regulation model and the UNs' global convention aspirations, while debating the efficacy of...</itunes:subtitle><itunes:summary><![CDATA[The panel will focus on the intricacies and challenges of formulating international AI regulations. It will compare different approaches, such as the G7's self-regulation model and the UNs' global convention aspirations, while debating the efficacy of sector-specific versus broad regulatory frameworks, as exemplified by the EU AI Act. The discussion aims to explore the balance between innovation and compliance, and how to harmonize these regulations while considering regional and national interests.<br /><br /><br />Speakers:<br />Brad Lightcap, COO - OpenAI<br />Gabriele Ricci, Chief Data and Technology Officer - Takeda<br />James Landay, Co-founder and Vice Director - Stanford Institute for Human-Centered AI<br />Keith Strier, VP, Worldwide AI - NVIDIA<br />Nicola Morini Bianzino, Global Chief Technology Officer - EY<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2514</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/35d077ec9c71940ab7c75f03163a9175.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Solving for humanity with AI | AI House Davos 2024</title><link>https://www.spreaker.com/episode/solving-for-humanity-with-ai-ai-house-davos-2024--74882820</link><description><![CDATA[For AI to deliver potentially transformative benefits for humanity, and avoid a future of risk, dialogue and alignment need to occur across key stakeholders in government and regulation, technology and innovation, and end users where we will see a downstream, societal impact. This session will be a discussion with leaders from the government, technology, and policy sectors about how we innovate for AI, when and where we regulate, and how we should continue iterating AI technologies and implementation, for the greater good. <br /><br /><br />Speakers:<br />Evan Sparks, Vice President &amp; General Manager AI Software Solutions - Hewlett Packard Enterprise<br />John Schultz, Hewlett Packard Enterprise - Chief Operating and Legal Officer<br />Kay Firth-Butterfield, CEO - Good Tech Advisory<br />Manoj Leelanivas, COO - Juniper Networks<br />Princess Beatrice, BY-EQ Limited<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364624</guid><pubDate>Thu, 18 Jan 2024 14:56:22 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882820/2095303673991364624.mp3" length="48434925" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>For AI to deliver potentially transformative benefits for humanity, and avoid a future of risk, dialogue and alignment need to occur across key stakeholders in government and regulation, technology and innovation, and end users where we will see a...</itunes:subtitle><itunes:summary><![CDATA[For AI to deliver potentially transformative benefits for humanity, and avoid a future of risk, dialogue and alignment need to occur across key stakeholders in government and regulation, technology and innovation, and end users where we will see a downstream, societal impact. This session will be a discussion with leaders from the government, technology, and policy sectors about how we innovate for AI, when and where we regulate, and how we should continue iterating AI technologies and implementation, for the greater good. <br /><br /><br />Speakers:<br />Evan Sparks, Vice President &amp; General Manager AI Software Solutions - Hewlett Packard Enterprise<br />John Schultz, Hewlett Packard Enterprise - Chief Operating and Legal Officer<br />Kay Firth-Butterfield, CEO - Good Tech Advisory<br />Manoj Leelanivas, COO - Juniper Networks<br />Princess Beatrice, BY-EQ Limited<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>3028</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/725d6f2f78ae82a4583214b8b4888c17.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>UN AI Governance Breakfast | AI House Davos 2024</title><link>https://www.spreaker.com/episode/un-ai-governance-breakfast-ai-house-davos-2024--74882797</link><description><![CDATA[Explore new proposals from the UN High-Level Advisory Body on AI at our breakfast session. Uncover insights from global experts, addressing the importance of diverse perspectives in governing AI for the common good. The interim report proposes internationally interoperable governance aligned with human rights and the Sustainable Development Goals, shaping a responsible and inclusive future for AI.<br /><br /><br />Speakers:<br />Amandeep Gill, Under-Secretary-General, Tech Envoy - United Nations<br />Andreas Krause, Academic director ETHZ AI Center, Steering Committee SDSC / Swiss AI and Professor - ETH Zurich<br />Marietje Schaake, International Policy Director - Stanford University<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364645</guid><pubDate>Thu, 18 Jan 2024 14:18:36 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882797/2095303673991364645.mp3" length="50566516" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Explore new proposals from the UN High-Level Advisory Body on AI at our breakfast session. Uncover insights from global experts, addressing the importance of diverse perspectives in governing AI for the common good. The interim report proposes...</itunes:subtitle><itunes:summary><![CDATA[Explore new proposals from the UN High-Level Advisory Body on AI at our breakfast session. Uncover insights from global experts, addressing the importance of diverse perspectives in governing AI for the common good. The interim report proposes internationally interoperable governance aligned with human rights and the Sustainable Development Goals, shaping a responsible and inclusive future for AI.<br /><br /><br />Speakers:<br />Amandeep Gill, Under-Secretary-General, Tech Envoy - United Nations<br />Andreas Krause, Academic director ETHZ AI Center, Steering Committee SDSC / Swiss AI and Professor - ETH Zurich<br />Marietje Schaake, International Policy Director - Stanford University<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>3161</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/baded145a540d48437954b3938eebac7.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Launch of a Pilot Gen AI Redteaming network | AI House Davos 2024</title><link>https://www.spreaker.com/episode/launch-of-a-pilot-gen-ai-redteaming-network-ai-house-davos-2024--74882801</link><description><![CDATA[Join us for the launch of a pivotal Gen AI Redteaming Pilot Network. This session, part of the Swiss Call for Trust &amp; Transparency initiative, a joint initiative of the Swiss Foreign Ministry and ETH AI Center with global ambition and reach, aims to unite tech leaders, AI experts, and policymakers in exploring AI safety testing and risk management. We'll discuss the essentials of AI safety, focusing on shared experiences in red teaming and mitigation strategies. The network will enable collaboration in identifying and addressing critical generative AI risks, aiding in the development of standardized AI testing protocols. Be a part of shaping the future of responsible AI governance.<br /><br />Speakers:<br />Alexandre Fasel, State Secretary - Federal Department of Foreign Affairs Switzerland FDFA<br />Cathrin Hinkel, Switzerland - Microsoft<br />Ericson Chan, Group Chief Information and Digital Officer - Zurich Insurance<br />Florian Tramèr, Assistant Professor of Computer Science - ETH Zürich<br />Laure Willemin, Executive Vice President of Data, Analytics &amp; AI - Swisscom<br />Sebastian Hallensleben, Head of Digitalisation and AI - Chair CEN-CENELEC JTC 21 AI<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364674</guid><pubDate>Thu, 18 Jan 2024 11:42:15 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882801/2095303673991364674.mp3" length="37741021" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Join us for the launch of a pivotal Gen AI Redteaming Pilot Network. This session, part of the Swiss Call for Trust &amp;amp; Transparency initiative, a joint initiative of the Swiss Foreign Ministry and ETH AI Center with global ambition and reach, aims...</itunes:subtitle><itunes:summary><![CDATA[Join us for the launch of a pivotal Gen AI Redteaming Pilot Network. This session, part of the Swiss Call for Trust &amp; Transparency initiative, a joint initiative of the Swiss Foreign Ministry and ETH AI Center with global ambition and reach, aims to unite tech leaders, AI experts, and policymakers in exploring AI safety testing and risk management. We'll discuss the essentials of AI safety, focusing on shared experiences in red teaming and mitigation strategies. The network will enable collaboration in identifying and addressing critical generative AI risks, aiding in the development of standardized AI testing protocols. Be a part of shaping the future of responsible AI governance.<br /><br />Speakers:<br />Alexandre Fasel, State Secretary - Federal Department of Foreign Affairs Switzerland FDFA<br />Cathrin Hinkel, Switzerland - Microsoft<br />Ericson Chan, Group Chief Information and Digital Officer - Zurich Insurance<br />Florian Tramèr, Assistant Professor of Computer Science - ETH Zürich<br />Laure Willemin, Executive Vice President of Data, Analytics &amp; AI - Swisscom<br />Sebastian Hallensleben, Head of Digitalisation and AI - Chair CEN-CENELEC JTC 21 AI<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2359</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/058b053a2493f958b4fe8822aef14e48.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI Governance, Standardisation and Certification | AI House Davos 2024</title><link>https://www.spreaker.com/episode/ai-governance-standardisation-and-certification-ai-house-davos-2024--74882758</link><description><![CDATA[Join us for a thought-provoking panel discussion that will tackle the pressing issues of AI standardization, certification and data harmonization. It will be highlighting the delicate balance between advancing high-quality, reliable AI technologies and addressing the inherent risks related to trust and ethical implementation. Participants will gain a deeper understanding of how universal standards and robust certification processes can mitigate risks, ensuring AI systems are not only technically sound but also ethically aligned and trustworthy.<br /><br />Speakers:<br />Andrew Ng, Founder and CEO of Landing AI - Founder of DeepLearning.AI - Managing General Partner of AI Fund<br />Franziska Weindauer, CEO - TÜV AI.Lab<br />Gary Marcus, Professor of Psychology and Neural Science - New York University<br />Laure Willemin, Executive Vice President of Data, Analytics &amp; AI - Swisscom<br />Sebastian Hallensleben, Head of Digitalisation and AI - Chair CEN-CENELEC JTC 21 AI<br />Sergio Mujica, Secretary-General - International Organization for Standardization<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364654</guid><pubDate>Thu, 18 Jan 2024 11:19:21 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882758/2095303673991364654.mp3" length="45148512" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Join us for a thought-provoking panel discussion that will tackle the pressing issues of AI standardization, certification and data harmonization. It will be highlighting the delicate balance between advancing high-quality, reliable AI technologies...</itunes:subtitle><itunes:summary><![CDATA[Join us for a thought-provoking panel discussion that will tackle the pressing issues of AI standardization, certification and data harmonization. It will be highlighting the delicate balance between advancing high-quality, reliable AI technologies and addressing the inherent risks related to trust and ethical implementation. Participants will gain a deeper understanding of how universal standards and robust certification processes can mitigate risks, ensuring AI systems are not only technically sound but also ethically aligned and trustworthy.<br /><br />Speakers:<br />Andrew Ng, Founder and CEO of Landing AI - Founder of DeepLearning.AI - Managing General Partner of AI Fund<br />Franziska Weindauer, CEO - TÜV AI.Lab<br />Gary Marcus, Professor of Psychology and Neural Science - New York University<br />Laure Willemin, Executive Vice President of Data, Analytics &amp; AI - Swisscom<br />Sebastian Hallensleben, Head of Digitalisation and AI - Chair CEN-CENELEC JTC 21 AI<br />Sergio Mujica, Secretary-General - International Organization for Standardization<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2822</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/e84ed56f66dffad472b142d87be8153b.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Hype vs. Impact - Implementing AI | AI House Davos 2024</title><link>https://www.spreaker.com/episode/hype-vs-impact-implementing-ai-ai-house-davos-2024--74882815</link><description><![CDATA[If you trust LinkedIn, in 2024 every company has become an AI powerhouse overnight. Budgets were allocated and teams formed, but the ideas haven’t trickled down to impact just yet. In this session, we will explore which conversations, questions and metrics boards need to push to ensure successful AI implementation ensuring impact, not hype.<br /><br />Speakers:<br />Nicole Büttner, CEO - Merantix Momentum<br />Behshad Behzadi, Vice President of Engineering - Google<br />Jürgen Müller, CTO - SAP<br />Martin Kon, Cohere - President &amp; COO<br /><br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364625</guid><pubDate>Thu, 18 Jan 2024 09:32:51 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882815/2095303673991364625.mp3" length="44241122" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>If you trust LinkedIn, in 2024 every company has become an AI powerhouse overnight. Budgets were allocated and teams formed, but the ideas haven’t trickled down to impact just yet. In this session, we will explore which conversations, questions and...</itunes:subtitle><itunes:summary><![CDATA[If you trust LinkedIn, in 2024 every company has become an AI powerhouse overnight. Budgets were allocated and teams formed, but the ideas haven’t trickled down to impact just yet. In this session, we will explore which conversations, questions and metrics boards need to push to ensure successful AI implementation ensuring impact, not hype.<br /><br />Speakers:<br />Nicole Büttner, CEO - Merantix Momentum<br />Behshad Behzadi, Vice President of Engineering - Google<br />Jürgen Müller, CTO - SAP<br />Martin Kon, Cohere - President &amp; COO<br /><br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2765</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/e88e24696a34b3c83547c3e9431f473f.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI &amp; Sustainability - Opportunities and Risks | AI House Davos 2024</title><link>https://www.spreaker.com/episode/ai-sustainability-opportunities-and-risks-ai-house-davos-2024--74882827</link><description><![CDATA[How can AI provide pathways to tackle sustainability challenges, like greenhouse gas pollution, water pollution and resulting productivity losses.  Advancements in AI and remote sensing can create new opportunities in adaptation and mitigation. On the flipside, the footprint of AI model training and infrastructure can further add to an already pressing crises. In this session, executives and practitioners will share insights on the duality of AI’s impact on sustainability, bringing their action items to the fore of the discussion. <br /><br />Speakers:<br />Andreas Berger, CEO &amp; Member of the Swiss Re GEC - Swiss Re Corporate Solutions<br />Himanshu Gupta, CEO and Co-Founder - ClimateAI<br />Isa Müller-Wegner, Head of Strategy and Business Development - Swisscom<br />Remco van Erp, Co-Founder &amp; CEO - Corintis<br />Thomas McDonald, Chief Scientific Officer - Orbital Materials<br />Thomas Vellacott, CEO - WWF Switzerland]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364658</guid><pubDate>Wed, 17 Jan 2024 18:26:10 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882827/2095303673991364658.mp3" length="61161782" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>How can AI provide pathways to tackle sustainability challenges, like greenhouse gas pollution, water pollution and resulting productivity losses.  Advancements in AI and remote sensing can create new opportunities in adaptation and mitigation. On the...</itunes:subtitle><itunes:summary><![CDATA[How can AI provide pathways to tackle sustainability challenges, like greenhouse gas pollution, water pollution and resulting productivity losses.  Advancements in AI and remote sensing can create new opportunities in adaptation and mitigation. On the flipside, the footprint of AI model training and infrastructure can further add to an already pressing crises. In this session, executives and practitioners will share insights on the duality of AI’s impact on sustainability, bringing their action items to the fore of the discussion. <br /><br />Speakers:<br />Andreas Berger, CEO &amp; Member of the Swiss Re GEC - Swiss Re Corporate Solutions<br />Himanshu Gupta, CEO and Co-Founder - ClimateAI<br />Isa Müller-Wegner, Head of Strategy and Business Development - Swisscom<br />Remco van Erp, Co-Founder &amp; CEO - Corintis<br />Thomas McDonald, Chief Scientific Officer - Orbital Materials<br />Thomas Vellacott, CEO - WWF Switzerland]]></itunes:summary><itunes:duration>3823</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/02cb1f3e17154b3f530d22cfd2f26aeb.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI Geopolitical Implications for Business, Government, and Society | AI House Davos 2024</title><link>https://www.spreaker.com/episode/ai-geopolitical-implications-for-business-government-and-society-ai-house-davos-2024--74882750</link><description><![CDATA[Given present and future technical developments in generative artificial intelligence (AI) systems, there is a pressing need to understand and anticipate its geopolitical implications, especially in times of crisis of multilateralism. What are the present geopolitical implications of generative AI systems? What are the future scenarios to consider AI geopolitics? How can businesses, governments and civil society prepare to harness the benefits of AI while safeguarding against the inherent risks. This session will discuss the geopolitical risks and opportunities of AI developments for businesses, governments and civil society.<br /><br />Speakers:<br />Amandeep Gill, Under-Secretary-General, Tech Envoy - United Nations<br />Brad Smith, Vice Chair and President - Microsoft Corporation<br />Doreen Bogdan-Martin, Secretary-General - International Telecommunication Union<br />Marie-Laure Salles, Director - Geneva Graduate Institute<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364652</guid><pubDate>Wed, 17 Jan 2024 16:55:51 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882750/2095303673991364652.mp3" length="41408613" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Given present and future technical developments in generative artificial intelligence (AI) systems, there is a pressing need to understand and anticipate its geopolitical implications, especially in times of crisis of multilateralism. What are the...</itunes:subtitle><itunes:summary><![CDATA[Given present and future technical developments in generative artificial intelligence (AI) systems, there is a pressing need to understand and anticipate its geopolitical implications, especially in times of crisis of multilateralism. What are the present geopolitical implications of generative AI systems? What are the future scenarios to consider AI geopolitics? How can businesses, governments and civil society prepare to harness the benefits of AI while safeguarding against the inherent risks. This session will discuss the geopolitical risks and opportunities of AI developments for businesses, governments and civil society.<br /><br />Speakers:<br />Amandeep Gill, Under-Secretary-General, Tech Envoy - United Nations<br />Brad Smith, Vice Chair and President - Microsoft Corporation<br />Doreen Bogdan-Martin, Secretary-General - International Telecommunication Union<br />Marie-Laure Salles, Director - Geneva Graduate Institute<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2588</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/5ef9ec5c376e55d67a43989e41148ddd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI &amp; Trust | AI House Davos 2024</title><link>https://www.spreaker.com/episode/ai-trust-ai-house-davos-2024--74882775</link><description><![CDATA[Trust is the basis of each strong leadership and allows us to do things together, that would be impossible to reach in isolation and without collaboration. With each new technological step, like the AI re(evo)lution we currently see, the role and rules of trust have to be reviewed, redefined and reshaped. What are the key questions we have to answer to trust generative AI Solutions. How can we ensure confidence in organizations that influence generative AI systems with the selection of data, training methods and protection framework around such generative models?<br /><br />Speakers:<br />Christoph Aeschlimann, CEO - Swisscom<br />Jennifer Webb, Investment Director - Swisscom Ventures<br />Joël Mesot, President - ETH Zurich<br />Keith Strier, VP, Worldwide AI - NVIDIA<br />Pia Tischhauser, Member of the Board of Directors at Swiss Re (non-executive) - Member of the global Executive Committee at BCG until 2021]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364636</guid><pubDate>Wed, 17 Jan 2024 15:54:23 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882775/2095303673991364636.mp3" length="43338748" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Trust is the basis of each strong leadership and allows us to do things together, that would be impossible to reach in isolation and without collaboration. With each new technological step, like the AI re(evo)lution we currently see, the role and...</itunes:subtitle><itunes:summary><![CDATA[Trust is the basis of each strong leadership and allows us to do things together, that would be impossible to reach in isolation and without collaboration. With each new technological step, like the AI re(evo)lution we currently see, the role and rules of trust have to be reviewed, redefined and reshaped. What are the key questions we have to answer to trust generative AI Solutions. How can we ensure confidence in organizations that influence generative AI systems with the selection of data, training methods and protection framework around such generative models?<br /><br />Speakers:<br />Christoph Aeschlimann, CEO - Swisscom<br />Jennifer Webb, Investment Director - Swisscom Ventures<br />Joël Mesot, President - ETH Zurich<br />Keith Strier, VP, Worldwide AI - NVIDIA<br />Pia Tischhauser, Member of the Board of Directors at Swiss Re (non-executive) - Member of the global Executive Committee at BCG until 2021]]></itunes:summary><itunes:duration>2709</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/d6082c380684ef8f3b653ff1602dbecb.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Open Source: Bridging Innovation &amp; Safety Lunch | AI House Davos 2024</title><link>https://www.spreaker.com/episode/open-source-bridging-innovation-safety-lunch-ai-house-davos-2024--74882822</link><description><![CDATA[Open-source practices have been foundational in the development of today’s digital technologies. Rapid advances in the capabilities of frontier AI models have brought new attention to these practices, as policymakers grapple with open source’s role in AI safety. These debates highlight tensions between open source as a tool for innovation and scrutiny, and concerns about unconstrained proliferation of powerful dual-use technologies. The question that follows is how to leverage open-source development to enable innovation without enabling harm; how can we use these approaches for safe and socially beneficial technology development, while also reducing AI risks?<br /><br />Speakers:<br />Yann LeCun, Meta - VP &amp; Chief AI Scientist<br />Bernhard Schölkopf, Professor - Max Planck Institute for Intelligent Systems &amp; ETH AI Center<br />Jessica Montgomery, Director of AI@Cam - University of Cambridge<br />Neil Lawrence, University of Cambridge - Professor of Machine Learning<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364621</guid><pubDate>Wed, 17 Jan 2024 12:56:59 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882822/2095303673991364621.mp3" length="47228276" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Open-source practices have been foundational in the development of today’s digital technologies. Rapid advances in the capabilities of frontier AI models have brought new attention to these practices, as policymakers grapple with open source’s role in...</itunes:subtitle><itunes:summary><![CDATA[Open-source practices have been foundational in the development of today’s digital technologies. Rapid advances in the capabilities of frontier AI models have brought new attention to these practices, as policymakers grapple with open source’s role in AI safety. These debates highlight tensions between open source as a tool for innovation and scrutiny, and concerns about unconstrained proliferation of powerful dual-use technologies. The question that follows is how to leverage open-source development to enable innovation without enabling harm; how can we use these approaches for safe and socially beneficial technology development, while also reducing AI risks?<br /><br />Speakers:<br />Yann LeCun, Meta - VP &amp; Chief AI Scientist<br />Bernhard Schölkopf, Professor - Max Planck Institute for Intelligent Systems &amp; ETH AI Center<br />Jessica Montgomery, Director of AI@Cam - University of Cambridge<br />Neil Lawrence, University of Cambridge - Professor of Machine Learning<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2952</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/7df7a5096a3c66bca4777df5316ab732.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Towards International AI Regulation | AI House Davos 2024</title><link>https://www.spreaker.com/episode/towards-international-ai-regulation-ai-house-davos-2024--74882812</link><description><![CDATA[The panel will focus on intricacies and challenges of formulating international AI regulations. It will compare different approaches, such as the G7's self-regulation model and the UNs' global convention aspirations, while debating the efficacy of sector-specific versus broad regulatory frameworks, as exemplified by the EU AI Act. The discussion aims to explore the balance between innovation and compliance, and how to harmonize these regulations while considering regional and national interests.<br /><br />Speakers:<br />Kai Zenner, European Parliament - Head of Office and Digital Policy Adviser<br />Rasmus Rothe, Founder - Merantix<br />Miriam Vogel, Chair of the National AI Advisory Board to the US President, President and CEO - EqualAI<br />Philipp Hacker, Professor - ENS/European University Viadrina<br />Ramayya Krishnan, Professor and Dean, CMU and Member - National AI Advisory Board to the US President<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364662</guid><pubDate>Wed, 17 Jan 2024 09:09:44 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882812/2095303673991364662.mp3" length="57471202" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>The panel will focus on intricacies and challenges of formulating international AI regulations. It will compare different approaches, such as the G7's self-regulation model and the UNs' global convention aspirations, while debating the efficacy of...</itunes:subtitle><itunes:summary><![CDATA[The panel will focus on intricacies and challenges of formulating international AI regulations. It will compare different approaches, such as the G7's self-regulation model and the UNs' global convention aspirations, while debating the efficacy of sector-specific versus broad regulatory frameworks, as exemplified by the EU AI Act. The discussion aims to explore the balance between innovation and compliance, and how to harmonize these regulations while considering regional and national interests.<br /><br />Speakers:<br />Kai Zenner, European Parliament - Head of Office and Digital Policy Adviser<br />Rasmus Rothe, Founder - Merantix<br />Miriam Vogel, Chair of the National AI Advisory Board to the US President, President and CEO - EqualAI<br />Philipp Hacker, Professor - ENS/European University Viadrina<br />Ramayya Krishnan, Professor and Dean, CMU and Member - National AI Advisory Board to the US President<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>3592</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/f30b950934d5a5ce171c39651336848c.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI Governance and Safety: G7 Hiroshima AI Process | AI House Davos 2024</title><link>https://www.spreaker.com/episode/ai-governance-and-safety-g7-hiroshima-ai-process-ai-house-davos-2024--74882782</link><description><![CDATA[Amidst ongoing discussions on AI regulations, it is crucial to grasp the relationships and distinct features of each set of rules. In this session, we will share insights on the current state and challenges of AI governance, including the G7 Hiroshima AI Process, and discuss how to advance international cooperation for the responsible deployment of AI.<br /><br />Speakers:<br />Amandeep Gill | Under-Secretary-General, Tech Envoy - United Nations<br />Anna Makanju | Vice President of Global Affairs - OpenAI<br />Arisa Ema | University of Tokyo - Associate Professor at Tokyo College<br />Christoph Winterhalter | Vice-President Policy - ISO &amp; CEO of DIN<br />Yoichi Iida | Assistant Vice Minister for International Affairs - Japanese Ministry of Internal Affairs and Communications<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364660</guid><pubDate>Tue, 16 Jan 2024 18:48:05 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882782/2095303673991364660.mp3" length="41826572" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Amidst ongoing discussions on AI regulations, it is crucial to grasp the relationships and distinct features of each set of rules. In this session, we will share insights on the current state and challenges of AI governance, including the G7 Hiroshima...</itunes:subtitle><itunes:summary><![CDATA[Amidst ongoing discussions on AI regulations, it is crucial to grasp the relationships and distinct features of each set of rules. In this session, we will share insights on the current state and challenges of AI governance, including the G7 Hiroshima AI Process, and discuss how to advance international cooperation for the responsible deployment of AI.<br /><br />Speakers:<br />Amandeep Gill | Under-Secretary-General, Tech Envoy - United Nations<br />Anna Makanju | Vice President of Global Affairs - OpenAI<br />Arisa Ema | University of Tokyo - Associate Professor at Tokyo College<br />Christoph Winterhalter | Vice-President Policy - ISO &amp; CEO of DIN<br />Yoichi Iida | Assistant Vice Minister for International Affairs - Japanese Ministry of Internal Affairs and Communications<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2615</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/8cc48503092ec5e9b658da8f5b349320.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI Safety Unplugged: Navigating the Risks Without the Hype | AI House Davos 2024</title><link>https://www.spreaker.com/episode/ai-safety-unplugged-navigating-the-risks-without-the-hype-ai-house-davos-2024--74882809</link><description><![CDATA[What happens if we look beyond the dominating conversation around AI’s existential risks? As businesses are integrating AI at lightning speed, we need to define a sensible risk landscape that takes into account both immediate and longer-term consequences. In this session, AI leaders from both industry and academia will craft that landscape and shed light on practical steps forward.<br /><br />Speakers:<br />Yann LeCun | Meta - VP &amp; Chief AI Scientist<br />David Haber | Founder &amp; CEO - Lakera<br />Max Tegmark | President - Future of Life Institute<br />Reed Albergotti | Technology Editor - Semafor<br />David Haber | Founder &amp; CEO - Lakera<br />Seraphina Goldfarb-Tarrant | Head of Safety - Cohere<br /><br />Date: 16.01.2024<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364640</guid><pubDate>Tue, 16 Jan 2024 18:31:22 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882809/2095303673991364640.mp3" length="42399594" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>What happens if we look beyond the dominating conversation around AI’s existential risks? As businesses are integrating AI at lightning speed, we need to define a sensible risk landscape that takes into account both immediate and longer-term...</itunes:subtitle><itunes:summary><![CDATA[What happens if we look beyond the dominating conversation around AI’s existential risks? As businesses are integrating AI at lightning speed, we need to define a sensible risk landscape that takes into account both immediate and longer-term consequences. In this session, AI leaders from both industry and academia will craft that landscape and shed light on practical steps forward.<br /><br />Speakers:<br />Yann LeCun | Meta - VP &amp; Chief AI Scientist<br />David Haber | Founder &amp; CEO - Lakera<br />Max Tegmark | President - Future of Life Institute<br />Reed Albergotti | Technology Editor - Semafor<br />David Haber | Founder &amp; CEO - Lakera<br />Seraphina Goldfarb-Tarrant | Head of Safety - Cohere<br /><br />Date: 16.01.2024<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>2650</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/33eaba8c73cbdb48b041767847f28d2a.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Opening Ceremony | AI House Davos 2024</title><link>https://www.spreaker.com/episode/opening-ceremony-ai-house-davos-2024--74882832</link><description><![CDATA[Welcome to the AI House Davos 2024. What are the most pressing discussions in AI and why is a multi-stakeholder platform like AI House Davos needed to drive joint agenda setting for responsible AI? Hear from our initiators, get a map down of the most relevant aspects of AI that will be covered in the AI House Davos and meet the visionaries defining the AI landscape to serve the good of humanity.<br /><br />Speakers:<br />Hanna Brahme | Curator AI House Davos - ETH AI Center<br />Rasmus Rothe | Founder - Merantix<br />Alexander Ilic | Co-Founder &amp; Executive Director - ETH AI Center<br />Daniel Dobos | Research Director - Swisscom<br />Benedikt Wechsler | Ambassador, Head of - Division for Digitalisation State Secretariat<br />Joël Mesot | President - ETH Zurich<br />Martin Vetterli | President - EPFL<br />Michael Rechsteiner | Chairman of the Board of Directors - Swisscom<br />Teruo Fujii | President - The University of Tokyo<br />Peng Xiao | G42 - Group CEO<br />Trish Damkroger | Senior Vice President and Chief Product Officer, HPC &amp; AI - Hewlett Packard Enterprise<br />Kay Firth-Butterfield | CEO - Good Tech Advisory<br />Gary Marcus | Professor of Psychology and Neural Science - New York University<br />Stuart Russell | Professor of Computer Science - UC Berkeley<br />Ferdi &amp; Eylul Alıcı | Director and Founder &amp; AI House Davos Commission main artist - Ouchhh<br />Nicole Büttner, Member of the Board, Merantix; Founder and CEO Merantix Momentum<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364637</guid><pubDate>Tue, 16 Jan 2024 18:02:11 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882832/2095303673991364637.mp3" length="70556668" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Welcome to the AI House Davos 2024. What are the most pressing discussions in AI and why is a multi-stakeholder platform like AI House Davos needed to drive joint agenda setting for responsible AI? Hear from our initiators, get a map down of the most...</itunes:subtitle><itunes:summary><![CDATA[Welcome to the AI House Davos 2024. What are the most pressing discussions in AI and why is a multi-stakeholder platform like AI House Davos needed to drive joint agenda setting for responsible AI? Hear from our initiators, get a map down of the most relevant aspects of AI that will be covered in the AI House Davos and meet the visionaries defining the AI landscape to serve the good of humanity.<br /><br />Speakers:<br />Hanna Brahme | Curator AI House Davos - ETH AI Center<br />Rasmus Rothe | Founder - Merantix<br />Alexander Ilic | Co-Founder &amp; Executive Director - ETH AI Center<br />Daniel Dobos | Research Director - Swisscom<br />Benedikt Wechsler | Ambassador, Head of - Division for Digitalisation State Secretariat<br />Joël Mesot | President - ETH Zurich<br />Martin Vetterli | President - EPFL<br />Michael Rechsteiner | Chairman of the Board of Directors - Swisscom<br />Teruo Fujii | President - The University of Tokyo<br />Peng Xiao | G42 - Group CEO<br />Trish Damkroger | Senior Vice President and Chief Product Officer, HPC &amp; AI - Hewlett Packard Enterprise<br />Kay Firth-Butterfield | CEO - Good Tech Advisory<br />Gary Marcus | Professor of Psychology and Neural Science - New York University<br />Stuart Russell | Professor of Computer Science - UC Berkeley<br />Ferdi &amp; Eylul Alıcı | Director and Founder &amp; AI House Davos Commission main artist - Ouchhh<br />Nicole Büttner, Member of the Board, Merantix; Founder and CEO Merantix Momentum<br /><br />(c) AI House Davos 2024 - Initiated by Merantix, ETH AI Center, Swisscom, Institute for AI and Beyond, G42 and Hewlett Packard Enterprise]]></itunes:summary><itunes:duration>4410</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/27e9c915617eb31fbfba7ce8a0b32e7b.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI - The Ultimate Invention | AI House Davos 2024</title><link>https://www.spreaker.com/episode/ai-the-ultimate-invention-ai-house-davos-2024--74882800</link><description><![CDATA[Explore AI's state and prospects during this panel where experts will discuss real-world impacts of one of history’s most transformative technologies. From the early days to present, and with a look to the future, delve into the changes AI is bringing to industries and society. Engage in candid conversations on the challenges and opportunities in integrating AI in all aspects of day to day lives. Professionals and curious minds will offer forward looking perspective on future of AI, gaining a deeper understanding of its complexities and untapped promises.<br /><br />Speakers:<br />Diane Brady | Assistant Managing Editor, Forbes <br />Peng Xiao | Group CEO, G42<br />Amy Webb | Author &amp; Founder, Future Today Institute<br />Bill Ford | Chairman &amp; CEO, General Atlantic]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364657</guid><pubDate>Tue, 16 Jan 2024 14:00:03 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882800/2095303673991364657.mp3" length="51977129" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>Explore AI's state and prospects during this panel where experts will discuss real-world impacts of one of history’s most transformative technologies. From the early days to present, and with a look to the future, delve into the changes AI is bringing...</itunes:subtitle><itunes:summary><![CDATA[Explore AI's state and prospects during this panel where experts will discuss real-world impacts of one of history’s most transformative technologies. From the early days to present, and with a look to the future, delve into the changes AI is bringing to industries and society. Engage in candid conversations on the challenges and opportunities in integrating AI in all aspects of day to day lives. Professionals and curious minds will offer forward looking perspective on future of AI, gaining a deeper understanding of its complexities and untapped promises.<br /><br />Speakers:<br />Diane Brady | Assistant Managing Editor, Forbes <br />Peng Xiao | Group CEO, G42<br />Amy Webb | Author &amp; Founder, Future Today Institute<br />Bill Ford | Chairman &amp; CEO, General Atlantic]]></itunes:summary><itunes:duration>3249</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/f1ff20e40536f5928bb4b27aca730381.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Women's AI Breakfast | AI House Davos 2024</title><link>https://www.spreaker.com/episode/women-s-ai-breakfast-ai-house-davos-2024--74882790</link><description><![CDATA[The Women's AI Breakfast is a dynamic gathering specifically designed for women in the tech industry. This event offers a unique platform for networking and exchanging ideas among female professionals in tech, AI, and entrepreneurship. Accompanied by engaging panel discussions led by female leaders in these fields, the series promotes insightful dialogues and connections.<br /><br />Speakers: <br />Nicole Büttner, Founder &amp; CEO - Merantix Momentum<br />Anna Makanju, VP of Public Policy - OpenAI<br />Deemah Al Yahya, Secretary-General - Digital Cooperation Organization<br />Nigina Muntean, Chief Innovation - United Nations Population Fund<br /><br />Date: 15. January, 2024]]></description><guid isPermaLink="false">https://app.pigeonpod.cloud/feed/2095303611524960257/episode/2095303673991364655</guid><pubDate>Tue, 16 Jan 2024 09:27:29 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/74882790/2095303673991364655.mp3" length="44273723" type="audio/mpeg"/><itunes:author>GER</itunes:author><itunes:subtitle>The Women's AI Breakfast is a dynamic gathering specifically designed for women in the tech industry. This event offers a unique platform for networking and exchanging ideas among female professionals in tech, AI, and entrepreneurship. Accompanied by...</itunes:subtitle><itunes:summary><![CDATA[The Women's AI Breakfast is a dynamic gathering specifically designed for women in the tech industry. This event offers a unique platform for networking and exchanging ideas among female professionals in tech, AI, and entrepreneurship. Accompanied by engaging panel discussions led by female leaders in these fields, the series promotes insightful dialogues and connections.<br /><br />Speakers: <br />Nicole Büttner, Founder &amp; CEO - Merantix Momentum<br />Anna Makanju, VP of Public Policy - OpenAI<br />Deemah Al Yahya, Secretary-General - Digital Cooperation Organization<br />Nigina Muntean, Chief Innovation - United Nations Population Fund<br /><br />Date: 15. January, 2024]]></itunes:summary><itunes:duration>2768</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/f4d609d442cb26a68e3504b1b9c8bc7e.jpg"/><itunes:episodeType>full</itunes:episodeType></item></channel></rss>
