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Machine Learning Fairness and AI: A Conversation with Adam Kalai
Manage episode 474784872 series 13496
Content provided by UCTV. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by UCTV or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
OpenAI researcher Adam Kalai sits down with UC San Diego professor Mikhail Belkin to discuss his work in machine learning, algorithmic fairness, and artificial intelligence. Kalai has contributed research in areas like fairness in AI models, word embeddings, and human-AI collaboration. He has worked at Microsoft Research and has published influential papers on bias in machine learning models. His work has helped shape discussions on ethical AI and the development of more equitable AI systems. Series: "Data Science Channel" [Science] [Show ID: 40264]
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109 episodes
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Manage episode 474784872 series 13496
Content provided by UCTV. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by UCTV or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
OpenAI researcher Adam Kalai sits down with UC San Diego professor Mikhail Belkin to discuss his work in machine learning, algorithmic fairness, and artificial intelligence. Kalai has contributed research in areas like fairness in AI models, word embeddings, and human-AI collaboration. He has worked at Microsoft Research and has published influential papers on bias in machine learning models. His work has helped shape discussions on ethical AI and the development of more equitable AI systems. Series: "Data Science Channel" [Science] [Show ID: 40264]
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Similar to Science (Audio)
The BMJ brings you interviews with the people who are shaping medicine and science around the world.
…
continue reading
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…
continue reading
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…
continue reading
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continue reading
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…
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