Détails sur Scaling Laws, podcast de Lawfare & University of Texas Law School

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Lawfare Daily: Anthropic’s Safety Mission vs. Public-Company Pressure with Professor Robreto Tallarita

mardi 10 novembre 2026 • Durée 55:22

Kevin Frazier, Director of the AI Innovation and Law Program at the University of Texas School of Law and a senior editor at Lawfare, speaks with Roberto Tallarita, assistant professor at Harvard Law School, about Anthropic's recently filed s-1 and its experiment in corporate governance. They discuss its current status as a public benefit corporation, its decision to create and empower a body of financially disinterested trustees, and its current unique class structure. Drawing on Tallarita’s research on stakeholder governance and unequal voting rights, the two also discuss what would make a commitment to safety precautions durable even when in stark tension with profit.

Tallarita lays out some of his thoughts on what could come next for Anthropic in his recent article “Profit and Mission in Anthropic’s IPO.” Frazier also has recently written an analysis of Anthropic’s post-IPO governance.

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Live from Emory Law: Stacey Abrams joins Alex Bores & Kevin Frazier

mardi 3 novembre 2026 • Durée 55:49

One week before Election Day, the Scaling Laws Roadshow visited Emory Law for a conversation with Stacey Abrams, former Minority Leader of the Georgia House of Representatives, bestselling author, entrepreneur, and producer. She joined Kevin Frazier, Director of the AI Innovation and Law Program at the University of Texas School of Law and Senior Editor at Lawfare, and Alex Bores, New York Assemblymember and co-founder of Who Decides.

The three explored Abrams’s frameworks for rebuilding democratic power, her efforts to connect people with opportunities to participate, and the role AI might play in those efforts. Leader Abrams also provided an overview of the Ten Steps Campaign, which you can check out here; https://10stepscampaign.org/

Big thanks to Dean Freer, Professor Sag, Matt Winston, and Nadia Hedayat for making the visit possible.

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Live at Univ. of Oregon: AI and State Governments with Nik Blosser

mardi 27 octobre 2026 • Durée 45:44

What should a state government have to demonstrate before it asks residents to trust an AI system?

In this episode of Scaling Laws, Nik Blosser, Oregon’s Chief AI Officer, joins Kevin Frazier, Director of the AI Innovation and Law Program at the University of Texas School of Law and a Senior Editor at Lawfare, to discuss Oregon’s approach to adopting and governing AI.

They explore Blosser’s role, Oregon’s Medicaid information chatbot and its public disclosure card, and Governor Tina Kotek’s recent executive order on frontier-model procurement. The conversation also considers the limits of state expertise and purchasing power, and the AI issues likely to shape Oregon’s 2027 legislative session.

Big thanks to Ellie Lewis and Maggie Byrne of the AI Student Association for hosting Scaling Laws in Eugene!

Check out the Oregon AI System Disclosure Card.

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Live at North Dakota Law: Justice Jerod Tufte on AI in the Judiciary

mardi 20 octobre 2026 • Durée 47:37

Live from Grand Forks, North Dakota!

Should the public be upset that courts aren’t using more AI? Justice Jerod Tufte of the North Dakota Supreme Court joins Kevin Frazier, director of the AI Innovation and Law Program at the University of Texas School of Law and a senior editor at Lawfare, to take up that question. Drawing on his background in computer engineering and his own experience testing and applying new tools, Tufte considers what the public should expect from courts as AI’s capabilities grow.

The conversation builds on Kevin’s study of how AI may alter government and the operation of our constitutional system. How should judges weigh the risks of adopting new tools against the costs of delay? What might those choices mean for the judiciary’s ability to fulfill its constitutional role? Together, Kevin and Justice Tufte examine how decisions about AI could shape the capacity of public institutions to serve the people who depend on them.

Big thanks to the University of North Dakota School of Law for hosting!

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Scaling Laws Live at Nebraska Law: Matt Tokson on AI Surveillance

mardi 13 octobre 2026 • Durée 48:54

What happens to society, law and privacy when artificial intelligence makes it possible for police to detect nearly every observable crime? Matthew Tokson, Director of the Criminal Law Program and Associate Dean for Research and Faculty Development at the University of Utah S.J. Quinney College of Law, joins Kevin Frazier, director of the AI Innovation and Law Program at the University of Texas School of Law and a Lawfare Senior Fellow, to discuss this question. They recorded this conversation at the University of Nebraska College of Law as part of the Scaling Laws Roadshow.

For more, read Tokson's article, "Artificial Intelligence and Near-Total Law Enforcement," in the Nebraska Law Review.

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Hélène Landemore on Public Participation in AI Governance

mardi 6 octobre 2026 • Durée 53:56

Hélène Landemore, Professor of Political Science at Yale University and a fellow at Oxford’s Institute for Ethics in AI, joins Kevin Frazier, director of the AI Innovation and Law Program at the University of Texas School of Law and a Senior Editor at Lawfare, to examine who should decide what AI is for. Starting with Landemore’s recent Noema essay, the pair discuss why decisions about AI’s purpose, limits, and governance should not be left solely to elected officials, technical experts, and the companies building the systems.

Landemore explains some key ideas--covering the fundamentals of deliberative democracy, sortition, and citizens’ assemblies. They then explore her proposal for global public consultation and deliberation. The duo conclude with hard questions about representation, expertise, and platform power.

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Child Safety AI Policy at Scale with Vaishnavi J and Dave Willner

mardi 29 septembre 2026 • Durée 51:39

Dave Willner, co-founder of Zentropi, and Vaishnavi J., founder and principal of Vys, join Kevin Frazier, director of the AI Innovation and Law Program at the University of Texas School of Law and a senior fellow at the Abundance Institute, to examine how AI is affecting younger users and why existing child-safety responses often default to age gates, parental consent, and outright bans.

The conversation then turns to their open-source teen self-harm and suicidal ideation policies, which use age-banded rules and a four-zone framework: remove, suppress with a warning, suppress from recommendations, and allow. Dave and Vaishnavi explain how the policies were developed using more than 1,200 hand-labeled examples, how Zentropi’s CoPE classifier translates written policy into enforcement, and how platforms should evaluate false positives, false negatives, over-refusal, under-refusal, human review, and appeals.

Dave's Tech Policy Press piece.

More on their classifer and research.

Explainer blog - Overall: https://quire.substack.com/p/what-it-takes-for-llms-to-make-age

Explainer blog - Part 1: https://quire.substack.com/p/f4b99ab0-0127-4992-a31d-67b989f2cf58

Explainer blog - Part 2: https://quire.substack.com/p/ae6a5436-21e5-4fec-81fe-8025004f3b16

Full set of policies: https://zentropi.ai/u/vys

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Live from Columbia Law with Chloé Bakalar: What can constitutions teach us about governing AI?

mardi 22 septembre 2026 • Durée 52:25

Chloé Bakalar, ASI Ethics Lead at Responsible Superintelligence Institute (RESI) and a Senior Research Associate at University College London, joins Kevin Frazier, Director of the AI Innovation and Law Program at the University of Texas School of Law and a Senior Editor at Lawfare, for a Scaling Laws Roadshow conversation recorded at Columbia Law School. Big thanks to Eliza Steffen for organizing a fantastic visit.

Recorded on the eve of Constitution Day, Chloé and Kevin explore the purposes of political constitutions, the American experience with constitutional change, and debate the extent to which the U.S. Constitution constrains private power. They then turn to AI constitutions: who writes them, whose values they reflect, how those principles are interpreted and revised, and how we can tell whether they meaningfully constrain an AI system.

The conversation closes by testing a broader proposal: whether governing advanced AI may require a dual constitutional structure—one governing the model itself and another governing the companies that develop and deploy it.

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Is Meta's Oversight Board a Model for AI Governance

mardi 15 septembre 2026 • Durée 46:33

Kenji Yoshino, Chief Justice Earl Warren Professor of Constitutional Law at New York University School of Law and a member of Meta’s Oversight Board, joins Kevin Frazier, director of the AI Innovation and Law Program at the University of Texas School of Law, and guest co-host Kate Klonick to discuss what frontier AI companies can learn from the Oversight Board. Yoshino recently co-authored a Tech Policy Press piece with fellow Board member Ronaldo Lemos arguing that meaningful AI oversight should feature independent and representative overseers, external standards, and transparent, reasoned decisions.

The trio tests that proposal against some of the hardest questions raised by the Oversight Board’s own experience. Can a selective, precedent-setting institution provide meaningful oversight at AI scale? What gives a privately created board legitimacy to constrain decisions with global consequences? What powers would an AI oversight body actually need? And when does private oversight complement democratic regulation—and when might it merely give corporate power a new source of legitimacy?

Here’s the Tech Policy Press piece.

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Algorithmic Disgorgement with Christina Lee [Live From LawAI's Workshop on Law-Following AI]

mardi 8 septembre 2026 • Durée 37:30

Christina Lee, Visiting Associate Professor of Law and Privacy and Technology Law Fellow at George Washington University Law School, joins Kevin Frazier, director of the AI Innovation and Law Program at the University of Texas School of Law and a senior fellow at the Abundance Institute, from the Institute of Law and AI’s Workshop on Law-Following AI in Cambridge, UK.

They discuss her forthcoming article, Beyond Algorithmic Disgorgement: Remedying Algorithmic Harms.

The conversation begins with the basics: what is algorithmic disgorgement, why did the FTC first use it in the Cambridge Analytica case, and how has the remedy evolved from data-deletion-plus-model-deletion orders into a much broader candidate remedy for AI harms? Christina explains why the remedy’s expansion matters, especially after the FTC’s Rite Aid settlement, where the alleged wrong was not unlawful data collection but the allegedly unfair use of facial recognition technology.

They also discuss alternative remedies, including injunctions, post-processing, fine-tuning, machine unlearning, and training-data attribution. Finally, they wrap up with Christina’s professional journey and the future of legal education in the age of AI.

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