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Scaling Laws
Defamation, Disinformation, and the Depp-Heard Trial
If you loaded up the internet or turned on the television somewhere in the United States over the last two months, it’s been impossible to avoid news coverage of the defamation trial of actors Johnny Depp and Amber Heard—both of whom sued each other over a dispute relating to allegations by Heard of domestic abuse by Depp. In early June, a Virginia jury found that both had defamed the other. The litigation has received a great deal of coverage for what it might say about the fate of the Me Too movement—but the flood of falsehoods online around the trial raises questions about how useful defamation law can really be in countering lies.
This week on Arbiters of Truth, our series on the online information ecosystem, Evelyn Douek and Quinta Jurecic spoke with RonNell Andersen Jones, the Lee E. Teitelbaum Professor of Law at the University of Utah College of Law and an expert on the First Amendment and the interaction between the press and the courts. Along with Lyrissa Lidsky, she’s written about defamation law, disinformation, and the Depp-Heard litigation. They talked about why some commentators think defamation could be a useful route to counter falsehoods, why RonNell thinks the celebrity litigation undercuts that argument, and the few cases in which claims of libel or slander really could have an impact in limiting the spread of lies.
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Release Schedules and Iterative Deployment with Open AI's Ziad Reslan
51:08|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.
A Year That Felt Like a Decade: 2025 Recap with Sen. Maroney & Neil Chilson
53:48|Connecticut State Senator James Maroney and Neil Chilson, Head of AI Policy at the Abundance Institute, join Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, and Alan Rozenshtein, Associate Professor at Minnesota Law and Research Director at Lawfare, for a look back at a wild year in AI policy.Neil provides his expert analysis of all that did (and did not) happen at the federal level. Senator Maroney then examines what transpired across the states. The four then offer their predictions for what seems likely to be an even busier 2026.
Cass Sunstein on What AI Can and Cannot Do
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AI Chatbots and the Future of Free Expression with Jacob Mchangama and Jacob Shapiro
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Rapid Response on the AI Preemption Executive Order
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Graham Dufault on small businesses and navigating EU AI laws
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Caleb Withers on the Cybersecurity Frontier in the Age of AI
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A Startup's Perspective on AI Policy
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