32 min listen
Service Cards and ML Governance with Michael Kearns - #610
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Service Cards and ML Governance with Michael Kearns - #610
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
ratings:
Length:
39 minutes
Released:
Jan 2, 2023
Format:
Podcast episode
Description
Today we conclude our AWS re:Invent 2022 series joined by Michael Kearns, a professor in the department of computer and information science at UPenn, as well as an Amazon Scholar. In our conversation, we briefly explore Michael’s broader research interests in responsible AI and ML governance and his role at Amazon. We then discuss the announcement of service cards, and their take on “model cards” at a holistic, system level as opposed to an individual model level. We walk through the information represented on the cards, as well as explore the decision-making process around specific information being omitted from the cards. We also get Michael’s take on the years-old debate of algorithmic bias vs dataset bias, what some of the current issues are around this topic, and what research he has seen (and hopes to see) addressing issues of “fairness” in large language models.
The complete show notes for this episode can be found at twimlai.com/go/610.
The complete show notes for this episode can be found at twimlai.com/go/610.
Released:
Jan 2, 2023
Format:
Podcast episode
Titles in the series (100)
Carlos Guestrin - Explaining the Predictions of Machine Learning Models - TWiML Talk #7: My guest this time is Carlos Guestrin, the Amazon… by The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)