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b'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\\u2019s 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 \\u201cmodel cards\\u201d 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\\u2019s 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 \\u201cfairness\\u201d in large language models.\\xa0\\xa0\\nThe complete show notes for this episode can be found at twimlai.com/go/610.'