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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Modeling Human Drivers for Autonomous Vehicles with Katie Driggs-Campbell - TWiML Talk #59

Modeling Human Drivers for Autonomous Vehicles with Katie Driggs-Campbell - TWiML Talk #59

We are back with our third show this week, episode 3 of our Autonomous Vehicles Series. My guest this time is Katie Driggs-Campbell, PostDoc in the Intelligent Systems Lab at Stanford University’s Dep...

27 Loka 201733min

Perception Models for Self-Driving Cars with Jianxiong Xiao - TWiML Talk #58

Perception Models for Self-Driving Cars with Jianxiong Xiao - TWiML Talk #58

We are back with our second show this week, episode 2 of our Autonomous Vehicles Series. This time around we are joined by Jianxiong Xiao of AutoX, a company building computer vision centric solutions...

25 Loka 201741min

Training Data for Autonomous Vehicles - Daryn Nakhuda - TWiML Talk #57

Training Data for Autonomous Vehicles - Daryn Nakhuda - TWiML Talk #57

The episode you are about to hear is the first of a new series of shows on Autonomous Vehicles. We all know that self-driving cars is one of the hottest topics in ML & AI, so we had to dig a little de...

23 Loka 201747min

Human Factors in Machine Intelligence with James Guszcza - TWiML Talk #56

Human Factors in Machine Intelligence with James Guszcza - TWiML Talk #56

As you all know, a few weeks ago, I spent some time in SF at the Artificial Intelligence Conference. I sat down with James Guszcza, US Chief Data Scientist at Deloitte Consulting to talk about human f...

16 Loka 201742min

AI-Powered Conversational Interfaces with Paul Tepper - TWiML Talk #52

AI-Powered Conversational Interfaces with Paul Tepper - TWiML Talk #52

The show you’re about to hear is part of a series of shows recorded in San Francisco at the Artificial Intelligence Conference. My guest for this show is Paul Tepper, worldwide head of cognitive innov...

6 Loka 201736min

ML Use Cases at Think Big Analytics with Mo Patel and Laura Frølich - TWiML Talk #54

ML Use Cases at Think Big Analytics with Mo Patel and Laura Frølich - TWiML Talk #54

The show you’re about to hear is part of a series of shows recorded in San Francisco at the Artificial Intelligence Conference. This time around, I speak with Mo Patel, practice director of AI & deep ...

6 Loka 201745min

Intel Nervana Devcloud with Naveen Rao & Scott Apeland - TWiML Talk #51

Intel Nervana Devcloud with Naveen Rao & Scott Apeland - TWiML Talk #51

In this episode, I talk to Naveen Rao, VP and GM of Intel’s AI Products Group, and Scott Apeland, director of Intel’s Developer Network. It's been a few months since we last spoke to Naveen, so he giv...

6 Loka 201737min

Ray: A Distributed Computing Platform for Reinforcement Learning with Ion Stoica - TWiML Talk #55

Ray: A Distributed Computing Platform for Reinforcement Learning with Ion Stoica - TWiML Talk #55

The show you’re about to hear is part of a series of shows recorded in San Francisco at the Artificial Intelligence Conference. In this episode, I talk with Ion Stoica, professor of computer science &...

5 Loka 201728min

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