Scaling Laws

Shlomo Klapper, founder of Learned Hand, joins Kevin Frazier, the Director of the AI Innovation and Law Fellow at the University of Texas School of Law, a Senior Fellow at the Abundance Institute, and a Senior Editor at Lawfare, to discuss the rise of judicial AI, the challenges of scaling technology inside courts, and the implications for legitimacy, due process, and access to justice. Hosted on Acast. See acast.com/privacy for more information.

Alan Rozenshtein, research director at Lawfare, spoke with Francis Shen, Professor of Law at the University of Minnesota, director of the Shen Neurolaw Lab, and candidate for Hennepin County Attorney.

The conversation covered the intersection of neuroscience, AI, and criminal justice; how AI tools can improve criminal investigations and clearance rates; the role of AI in adjudication and plea negotiations; precision sentencing and individualized justice; the ethical concerns around AI bias, fairness, and surveillance; the practical challenges of implementing AI systems in local government; building institutional capacity and public trust; and the future of the prosecutor's office in an AI-augmented justice system.
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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.

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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.

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Alan Z. Rozenshtein, Lawfare senior editor and associate professor of law the University of Minnesota, speaks with Cass Sunstein, the Robert Walmsley University Professor at Harvard University, about his new book, Imperfect Oracle: What AI Can and Cannot Do. They discuss when we should trust algorithms over our own judgment, why AI can eliminate the noise and bias that plague human decision-making but can't predict revolutions, cultural hits, or even a coin flip—and, perhaps most importantly, when it makes sense to delegate our choices to AI and when we should insist on deciding for ourselves.

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