
Scaling Laws
256 episodes — Page 1 of 6
Hélène Landemore on Public Participation in AI Governance
Child Safety AI Policy at Scale with Vaishnavi J and Dave Willner
Live from Columbia Law with Chloé Bakalar: What can constitutions teach us about governing AI?
Is Meta's Oversight Board a Model for AI Governance
Algorithmic Disgorgement with Christina Lee [Live From LawAI's Workshop on Law-Following AI]
Building AI Assurance Ecosystem with Bri Treece (PACT AI) and Dr. Rob Slone (UL Solutions)
Founders & Founders: Brandon Mitchell of WriteSea
AI Consciousness with Anil Seth
Matt Abrams on Trust and the Migration to the Digital Age
Founders & Founders: Matthew Schwartz of Virgo
Daniel Kokotajlo on AI 2040: Plan A
DZ Kalman on the Role of Faith in AI Policy
Founders & Founders: Laura Davis of USLege
Google's Kent Walker on Regulating Frontier AI
The Politics and Politicking of AI with Assemblymember Alex Bores
Courtney Cox on AI in Adjudication [live from the Institute of Law & AI's Workshop on Law-Following AI]
Founders & Founders: Nils Tracy of Authorship
New paths to social mobility with Joe Seddon
Founders & Founders: Adi Tantravahi of Cofactor
All Things Data Centers with Andy Masley
Founders & Founders: Kal Clark of Zauron Labs
Lawfare Daily: 'The Reverse Centaur's Guide to Life After AI’—A Conversation with Cory Doctorow
Founders & Founders: Dhruv Diddi of Solo Tech
"The God Test": AI as Cosmic Reckoning, with Robert Wright
Justified Posteriors join Scaling Laws: Two economists and two lawyers walk into a podcast studio
Explain to Shane (Tews) and Scaling Laws
Lawyering on the Frontier with Janel Thamkul
Radical Optionality: Governing Transformative AI, with Christoph Winter and Charlie Bullock
Tom Davidson on the Importance of AI Character
Governing the Frontier with Owen Larter of Google DeepMind
Inside the Fight to Detect and Govern Synthetic Abuse with Melissa Hutchins of Certifi AI
HAGS (with AI): How AI Tools Are Shaping Education with Adeel Khan and Ryan Trattner
The Politics of Data Centers with VA Delegate John McAuliff
Let's Do the Science! Talking Algorithms with Cathy O'Neill
Escaping One-Size-Fits-All AI Policy with Sean Perryman
Forecasting AI's Impact on the Economy with Deger Turan, CEO of Metaculus
Rapid Response: An "FDA for AI" at the White House?, with Dean Ball
Lawfare Daily: Why AI Won’t Revolutionize Law (At Least Not Yet), with Arvind Narayanan and Justin Curl
An EU-perspective on America’s Approach to AI with Marietje Schaake
Eliminating Barriers to AI Adoption with Clarion AI's Bennett Borden
Facts & Myths About AI's Energy Usage with Gavin McCormick
AI as Abnormal Technology? Scott Sullivan Analyzes AI in the Military Domain
Lawfare Daily: Talking About Sam Altman with Ronan Farrow and Andrew Marantz
Why AI Needs Independent Auditors, with Miles Brundage

Productivity Boom? Labor Shock? Google's Chief Economist on AI
Fabien Curto Millet, Chief Economist at Google, joins Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Fellow at the Abundance Institute, and Alan Rozenshtein, Associate Professor at Minnesota Law and Research Director at Lawfare, to discuss the potential of AI to catalyze a productivity boom while also addressing labor market instability. The three dive into likely changes in AI capabilities as well as ongoing reasons for slow organizational adoption of AI. Finally, they close with a brief discussion of potential policy approaches. Hosted on Acast. See acast.com/privacy for more information.

Abundance & AI? Nicholas Bagley Explains
Nicholas Bagley, Professor of Law at Michigan Law, 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, for a live recording of the podcast in Ann Arbor. Thanks to Graham Hardig and Brinson Elliott for organizing a great event. Professors Bagley and Frazier start by analyzing a recent debate over housing policy before diving into the weeds of the Abundance Agenda, its nexus with AI policy, and what this all means for the future of legal education and governance. Hosted on Acast. See acast.com/privacy for more information.

How To Use, Govern, And Lead On AI? Rep. Begich Points The Path Forward
Representative Nick Begich, Alaska's at-large member of Congress, joins Kevin Frazier, Director the the AI Innovation and Law Program at the University of Texas School of Law and a Senior Fellow at the Abundance Institute, to discuss the current state of AI policy on the Hill. As one of the few members of Congress with a background in tech, Rep. Begich offers a unique perspective on this unique and evolving regulatory question. The two also assess how Alaska may be a leader in developing AI infrastructure. Finally, Rep. Begich shares how he and his staff leverage AI to improve their own operations. Hosted on Acast. See acast.com/privacy for more information.

Should AI Laws Be Subject To A Higher Standard? The Right to Compute with Kendall Cotton
Kendall Cotton, Founder and CEO of Montana’s Frontier Institute, joins Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to discuss Montana’s groundbreaking Right to Compute Act and how Montana hopes to protect access to AI and related technologies. We will discuss the history and reach of this Act and why other states may want to follow Montana's lead. Hosted on Acast. See acast.com/privacy for more information.

Why Data Governance Is the Key to AI Biosecurity, with Jassi Pannu and Doni Bloomfield
Why Data Governance Is the Key to AI Biosecurity, with Jassi Pannu and Doni Bloomfield Alan Rozenshtein, research director at Lawfare, spoke with Jassi Pannu, assistant professor at the Johns Hopkins Bloomberg School of Public Health and senior scholar at the Johns Hopkins Center for Health Security, and Doni Bloomfield, associate professor of law at Fordham Law School, about their proposed framework for governing biological data to reduce AI-enabled biosecurity risks. The conversation covered the origins of the proposal in the 50th anniversary of the 1975 Asilomar conference on recombinant DNA; the distinction between general-purpose AI models and biology-specific foundation models like genomic language models; the biosecurity threats posed by AI, including uplift of novice actors and raising the ceiling of expert capabilities; the proposed biosecurity data levels (BDL 0-4) framework and how it draws on precedents from biosafety levels and genetic privacy regulation; the challenge of capabilities-based rather than pathogen-based data classification; the institutional and regulatory mechanisms for enforcement, including the role of NIH grant conditions and a proposed mandatory federal regime; international collaboration and the importance of U.S. leadership given that most high-tier data is generated domestically; the relationship between the proposal and open-source biological AI development; and the offense-defense imbalance in biosecurity and the case for mandatory gene synthesis screening. Mentioned in this episode:Jassi Pannu and Doni Bloomfield et al., "Biological data governance in an age of AI," Science (2026)Jassi Pannu, Doni Bloomfield, et al., "Dual-use capabilities of concern of biological AI models," PLOS Computational Biology (2025)Dario Amodei, "The Adolescence of Technology" (2026)The Genesis Mission Executive Order (November 2025) Hosted on Acast. See acast.com/privacy for more information.

Rapid Response Pod: Trump's New AI Framework with Helen Toner & Dean Ball
On Friday, March 20, the Trump Administration announced a National Policy Framework for AI. White House officials have stressed that they want Congress to act on the framework's recommendations within the year. What this all means for AI policy is an open question that warrants calling in two of the smartest folks in the business: Helen Toner, Interim Executive Director at Georgetown's Center for Security and Emerging Technology (CSET), and Dean Ball, a senior fellow at the Foundation for American Innovation. This rapid response episode cuts to the chase as everyone makes sense of this important development in the national AI policy conversation. Hosted on Acast. See acast.com/privacy for more information.