Ziad Reslan, a member of OpenAI’s Product Policy Staff and a Senior Fellow with the Schmidt Program on Artificial Intelligence, Emerging Technologies, and National Power at Yale University, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to talk about iterative deployment--the lab’s approach to testing and deploying its models. It’s a complex and, at times, controversial approach.  Ziad provides the rationale behind iterative deployment and tackles some questions about whether the strategy has always worked as intended. Hosted on Acast. See acast.com/privacy for more information.

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