Explicit
Algorithmic Feedback Loops and the Strategic Failure of Digital Nudges Ep73
Jun 23, 2026 ·
20m 6s
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Description
Can artificial intelligence learn to ignore human intentions? In this episode, we examine how AI-powered recommender systems adapt to user behavior and why well-intentioned digital interventions can sometimes produce the...
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Can artificial intelligence learn to ignore human intentions? In this episode, we examine how AI-powered recommender systems adapt to user behavior and why well-intentioned digital interventions can sometimes produce the opposite of their desired effect. We explore a large-scale experiment in which a video platform's sleep reminder unexpectedly increased user engagement by helping the recommendation algorithm learn user preferences through forced exploration. The discussion expands to AI-driven recruitment, explaining how Applicant Tracking Systems (ATS) screen resumes using keyword matching, data extraction, and automated ranking before human review. We also examine the rapidly growing esports ecosystem, where data, qualification systems, and strategic planning determine success at major international tournaments. Together, these examples reveal how algorithmic feedback loops influence online behavior, hiring decisions, and competitive gaming, highlighting both the power and unintended consequences of automated decision-making.
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Information
| Author | Bradley Sutton |
| Organization | Bradley Sutton |
| Website | - |
| Tags |
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