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Trustworthy machine learning requires models that still work when real-world data changes, and Adam Klivans, Ph.D., Director of the Institute for Foundations of Machine Learning (IFML), emphasizes learning under “distrib...
Learning Beyond the Data: Adam Klivans on Distribution Shift and the Future of AI is an episode from University of California Video Podcasts (Video) by UCTV. Trustworthy machine learning requires models that still work when real-world data...
This episode belongs to University of California Video Podcasts (Video).
Use the player on this page to stream the episode online.
Published Apr 1, 2026, 00:19:40 long, audio available.
You can listen to Learning Beyond the Data: Adam Klivans on Distribution Shift and the Future of AI online on Radio and Podcast. Open the player on this page to stream the available audio.
Learning Beyond the Data: Adam Klivans on Distribution Shift and the Future of AI is an episode from University of California Video Podcasts (Video) by UCTV.
This episode is 00:19:40 long.
This episode was published on Apr 1, 2026.
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May 1, 2026 - 00:20:03

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