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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Trends in Deep Learning with Jeremy Howard - TWiML Talk #214

Trends in Deep Learning with Jeremy Howard - TWiML Talk #214

In this episode of our AI Rewind series, we’re bringing back one of your favorite guests of the year, Jeremy Howard, founder and researcher at Fast.ai. Jeremy joins us to discuss trends in Deep Learn...

24 Dec 20181h 8min

Training Large-Scale Deep Nets with RL with Nando de Freitas - TWiML Talk #213

Training Large-Scale Deep Nets with RL with Nando de Freitas - TWiML Talk #213

Today we close out both our NeurIPS series joined by Nando de Freitas, Team Lead & Principal Scientist at Deepmind. In our conversation, we explore his interest in understanding the brain and working ...

20 Dec 201855min

Making Algorithms Trustworthy with David Spiegelhalter - TWiML Talk #212

Making Algorithms Trustworthy with David Spiegelhalter - TWiML Talk #212

Today we’re joined by David Spiegelhalter, Chair of Winton Center for Risk and Evidence Communication at Cambridge University and President of the Royal Statistical Society. David, an invited speaker ...

20 Dec 201823min

Designing Computer Systems for Software with Kunle Olukotun - TWiML Talk #211

Designing Computer Systems for Software with Kunle Olukotun - TWiML Talk #211

Today we’re joined by Kunle Olukotun, Professor in the department of EE and CS at Stanford University, and Chief Technologist at Sambanova Systems. Kunle was an invited speaker at NeurIPS this year, p...

18 Dec 201855min

Operationalizing Ethical AI with Kathryn Hume - TWiML Talk #210

Operationalizing Ethical AI with Kathryn Hume - TWiML Talk #210

Today we conclude our Trust in AI series with this conversation with Kathryn Hume, VP of Strategy at Integrate AI. We discuss her newly released white paper “Responsible AI in the Consumer Enterprise,...

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Approaches to Fairness in Machine Learning with Richard Zemel - TWiML Talk #209

Approaches to Fairness in Machine Learning with Richard Zemel - TWiML Talk #209

Today we continue our exploration of Trust in AI with this interview with Richard Zemel, Professor in the department of Computer Science at the University of Toronto and Research Director at Vector In...

12 Dec 201845min

Trust and AI with Parinaz Sobhani - TWiML Talk #208

Trust and AI with Parinaz Sobhani - TWiML Talk #208

In today’s episode we’re joined by Parinaz Sobhani, Director of Machine Learning at Georgian Partners. In our conversation, Parinaz and I discuss some of the main issues falling under the “trust” um...

11 Dec 201846min

Unbiased Learning from Biased User Feedback with Thorsten Joachims - TWiML Talk #207

Unbiased Learning from Biased User Feedback with Thorsten Joachims - TWiML Talk #207

In the final episode of our re:Invent series, we're joined by Thorsten Joachims, Professor in the Department of Computer Science at Cornell University. We discuss his presentation “Unbiased Learning f...

7 Dec 201840min

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