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Dr. Rene Kizilcec describes many sources of unfair outcomes of AI in education. He also describes the difficulties of transferability of AI models across contexts, and the fairness concerns that come not from the structure of AI but from how it is used in K12 schools and institutions of higher education. Dr. Rene Kizilcec is an Assistant Professor of Information Science and Director of the Future of Learning Lab at Cornell University.
Dr. Rene Kizilcec describes many sources of unfair outcomes of AI in education. He also describes the difficulties of transferability of AI models across contexts, and the fairness concerns that come not from the structure of AI but from how it is used in K12 schools and institutions of higher education. Dr. Rene Kizilcec is an Assistant Professor of Information Science and Director of the Future of Learning Lab at Cornell University. read more read less

2 years ago #achievement-gaps, #artificial-intelligence, #bias-sources, #broaden-participation, #data-mining, #dropout-prediction, #education, #education-technology, #equity, #ethics, #fairness, #gender, #learning-analytics, #machine-learning, #race, #scalable-ai, #transferability, #unfair-outcomes, #virtual-environments, #virtual-schools

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