Free Daily Podcast Summary
Scaling Laws: Daily Summaries Delivered
by Lawfare & University of Texas Law School
Scaling Laws explores (and occasionally answers) the questions that keep OpenAI’s policy team up at night, the ones that motivate legislators to host hearings on AI and draft new AI bills, and the ones that are top of mind for tech-savvy law and policy students. Co-hosts Alan Rozenshtein, Professor at Minnesota Law and Research Director at Lawfare, and Kevin Frazier, AI Innovation and Law Fellow at the University of Texas and Senior Editor at Lawfare, dive into the intersection of AI, innovation policy, and the law through regular interviews with the folks deep in the weeds of developing, regulating, and adopting AI. They also provide regular rapid-response analysis of breaking AI governance news. Hosted on Acast. See acast.com/privacy for more information.
Latest Episodes
The most recent episodes — sign up to get AI-powered summaries of each one.
- 4 days ago45 min
Live at Univ. of Oregon: AI and State Governments with Nik Blosser
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. Hosted on Acast. See acast.com/privacy for more information.
- 1 weeks ago47 min
Roadshow at North Dakota Law: Justice Jerod Tufte on AI in the Judiciary
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! Hosted on Acast. See acast.com/privacy for more information.
- 2 weeks ago48 min
Scaling Laws Live at Nebraska Law: Matt Tokson on AI Surveillance
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. Hosted on Acast. See acast.com/privacy for more information.
- 3 weeks ago53 min
Hélène Landemore on Public Participation in AI Governance
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. Hosted on Acast. See acast.com/privacy for more information.
- Sep 29, 202651 min
Child Safety AI Policy at Scale with Vaishnavi J and Dave Willner
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. Hosted on Acast. See acast.com/privacy for more information.
- Sep 22, 202652 min
Live from Columbia Law with Chloé Bakalar: What can constitutions teach us about governing AI?
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. Hosted on Acast. See acast.com/privacy for more information.
- Sep 15, 202646 min
Is Meta's Oversight Board a Model for AI Governance
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. Hosted on Acast. See acast.com/privacy for more information.
- Sep 8, 202637 min
Algorithmic Disgorgement with Christina Lee [Live From LawAI's Workshop on Law-Following AI]
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. Hosted on Acast. See acast.com/privacy for more information.
Get Scaling Laws summaries in your inbox
Free AI-powered daily recaps. Key takeaways, quotes, and mentions — in a 5-minute read.
Get Free Summaries →Free forever for up to 3 podcasts. No credit card required.
You Might Also Like
Listeners also like.
The AI Power Podcast
Explores AI policy, regulation, and global power dynamics shaping artificial intelligence’s impact on security, economy, and geopolitics.
The Lawfare Podcast
Discussions with experts on national security, law, and policy covering foreign policy, intelligence, cybersecurity, and governance.
Learn AI
Learn AI
This Week in AI
Four AI experts analyze the latest news and trends in artificial intelligence each week.
Building AI Boston
Discusses artificial intelligence through real-world applications and ethical considerations in Boston’s tech community.
The AI Podcast
Explores artificial intelligence advancements, trends, and ethics for enthusiasts and professionals.
Training Data
Discussions with AI researchers and builders exploring the technological, business, and societal impacts of artificial intelligence.
Latent Space: The AI Engineer Podcast
Conversations with AI engineers, researchers, and founders on foundation models, AI agents, infrastructure, and scientific discovery.
AI Breakdown
Explores the latest advancements, ethical issues, and real-world impacts of artificial intelligence across industries.
The Lawfare Podcast: Patreon Edition
Experts and policymakers discuss national security, law, and policy issues including foreign policy, intelligence, and cybersecurity.
The AI Daily Brief: Artificial Intelligence News and Analysis
A daily analysis of artificial intelligence news, exploring its creative potential, industry impacts, and ethical challenges.
The AI in Business Podcast
Interviews with AI executives reveal practical applications and strategic insights for business leaders adopting AI.
About Scaling Laws
Scaling Laws explores (and occasionally answers) the questions that keep OpenAI’s policy team up at night, the ones that motivate legislators to host hearings on AI and draft new AI bills, and the ones that are top of mind for tech-savvy law and policy students. Co-hosts Alan Rozenshtein, Professor at Minnesota Law and Research Director at Lawfare, and Kevin Frazier, AI Innovation and Law Fellow at the University of Texas and Senior Editor at Lawfare, dive into the intersection of AI, innovation policy, and the law through regular interviews with the folks deep in the weeds of developing, regulating, and adopting AI. They also provide regular rapid-response analysis of breaking AI governance news. Hosted on Acast. See acast.com/privacy for more information.
Customized Recaps
AI-powered recaps with compact key takeaways, quotes, and insights.
Straight to Your Inbox
Get key takeaways from Scaling Laws in a 5-minute read.
Save Hours Every Week
Stay current on your favorite podcasts without falling behind.
Frequently Asked Questions
What is Podzilla's Scaling Laws daily summary?
It's a free AI-powered email that summarizes new episodes of Scaling Laws as soon as they're published. You get the key takeaways, notable quotes, and links & mentions — all in a quick read.
How does the Scaling Laws podcast summary work?
When a new episode drops, our AI transcribes and analyzes it, then generates a personalized summary tailored to your interests and profession. It's delivered to your inbox every morning.
Is this an official Scaling Laws product?
No. Podzilla is an independent service that summarizes publicly available podcast content. We're not affiliated with or endorsed by Lawfare & University of Texas Law School.
Can I get summaries of other podcasts too?
Absolutely! The free plan covers up to 3 podcasts, any in the catalog. Basic raises that to 15, Pro to 40 and Max to 100. Browse our full catalog at /podcasts.
How often does Scaling Laws release new episodes?
Scaling Laws publishes weekly. Our AI generates a summary within hours of each new episode.
What topics does Scaling Laws cover?
Scaling Laws covers topics including News, Government, Politics. Our AI identifies the specific themes in each episode and highlights what matters most to you.
Start getting Scaling Laws summaries tomorrow morning.
Free forever for up to 3 podcasts. No credit card required.
Free forever for up to 3 podcasts. No credit card required.