Responsible AI in the Generative Era with Michael Kearns - #662

Responsible AI in the Generative Era with Michael Kearns - #662

Today we’re joined by Michael Kearns, professor in the Department of Computer and Information Science at the University of Pennsylvania and an Amazon scholar. In our conversation with Michael, we discuss the new challenges to responsible AI brought about by the generative AI era. We explore Michael’s learnings and insights from the intersection of his real-world experience at AWS and his work in academia. We cover a diverse range of topics under this banner, including service card metrics, privacy, hallucinations, RLHF, and LLM evaluation benchmarks. We also touch on Clean Rooms ML, a secured environment that balances accessibility to private datasets through differential privacy techniques, offering a new approach for secure data handling in machine learning. The complete show notes for this episode can be found at twimlai.com/go/662.

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Agile Machine Learning with Jennifer Prendki - TWiML Talk #46

Agile Machine Learning with Jennifer Prendki - TWiML Talk #46

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Data Pipelines at Zymergen with Airflow with Erin Shellman - TWiML Talk #41

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Cognitive Biases in Data Science with Drew Conway - TWiML Talk #39

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Web Scale Engineering for Machine Learning with Sharath Rao - TWiML Talk #40

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Deep Learning for Warehouse Operations with Calvin Seward - TWiML Talk #38

Deep Learning for Warehouse Operations with Calvin Seward - TWiML Talk #38

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