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.
- 5 days ago46 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.
- 1 weeks ago37 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.
- 2 weeks ago50 min
Building AI Assurance Ecosystem with Bri Treece (PACT AI) and Dr. Rob Slone (UL Solutions)
Bri Treece, Executive Director of PACT AI, and Dr. Rob Slone, Chief Scientist & Innovation Officer at UL Solutions, join Kevin Frazier, Director of the AI Innovation and Law Program at Texas Law and a Senior Editor at Lawfare, to discuss a neglected layer of AI governance: the organizations that deploy AI in real-world products, services, and operations.They discuss why PACT AI was formed, what AI assurance can learn from other industries, and why evaluating AI cannot be a one-time exercise. The conversation also covers PACT AI’s 90-day formation process and UL Solutions’ pre-existing work on AI-enabled products. Finally, Kevin asks Bri and Rob to pin down the major barriers facing the broader AI assurance ecosystem. Hosted on Acast. See acast.com/privacy for more information.
- 3 weeks ago43 min
Founders & Founders: Brandon Mitchell of WriteSea
Brandon Mitchell, founder of WriteSea, 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 the growing role of artificial intelligence in workforce development. WriteSea’s platform provides AI-driven career guidance, helping job seekers refine resumes, practice interviews, and navigate modern hiring systems that increasingly rely on automated screening tools. As policymakers and the public writ large assess the extent to which AI will disrupt the labor market, Brandon's efforts warrant particular attention. New tools such as WriteSea may play a key role in helping entry-level workers find jobs that align with their skillset. Hosted on Acast. See acast.com/privacy for more information.
- 3 weeks ago53 min
AI Consciousness with Anil Seth
Anil Seth, Professor of Cognitive and Computational Neuroscience and Director of the Sussex Centre for Consciousness Science at the University of Sussex, 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 whether artificial intelligence could ever be conscious.Drawing on Seth’s essay, “The Mythology of Conscious AI,” the pair attempt to define consciousness, develop the strongest arguments for and against machine consciousness, and assess what the current evidence can—and cannot—tell us. They also discuss the risks posed by AI systems that are perceived to be conscious and what AI labs, policymakers, and users should do amid profound uncertainty. Hosted on Acast. See acast.com/privacy for more information.
- Aug 18, 202648 min
Matt Abrams on Trust and the Migration to the Digital Age
Matt Abrams, technologist, investor, and co-founder of $1 Billion for Trust, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to discuss the collapse of institutional trust and how AI may accelerate — or potentially help reverse — that trend.The conversation explores Matt’s work to rebuild trust in information ecosystems, interpersonal relationships, and major institutions. Along the way, the duo examine the relationship between AI, information integrity, labor disruption, institutional legitimacy, and democratic resilience. Hosted on Acast. See acast.com/privacy for more information.
- Aug 14, 202642 min
Founders & Founders: Matthew Schwartz of Virgo
Matthew Schwartz, founder of Virgo, 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 how AI is beginning to reshape gastroenterology. Virgo’s model is trained on one of the largest collections of endoscopy procedure videos ever assembled, opening new possibilities for earlier diagnosis, personalized treatment of diseases like inflammatory bowel disease, and faster clinical research.The duo also examine how medical imaging data can generate new “digital biomarkers,” what role AI might play in shortening clinical trials, and how regulators and healthcare institutions are grappling with the promise—and risks—of deploying AI in clinical environments. Hosted on Acast. See acast.com/privacy for more information.
- Aug 11, 20261h 3m
Daniel Kokotajlo on AI 2040: Plan A
Daniel Kokotajlo, former OpenAI researcher and executive director of the AI Futures Project, joins Kevin Frazier, Director of the AI Innovation and Law Program at Texas Law and Senior Editor at Lawfare, to detail his policy recommendation–AI 2040: Plan A. It’s a thorough analysis of a policy pathway to delaying superintelligence, which Daniel and his co-authors think is necessary to ensure that the disruptive effects of highly-capable AI systems do not outweigh the benefits. Kevin asks Daniel to explain scenario scrutiny, address feedback from other AI policy stakeholder such as Tom Davidson, and detail what led him to already alter his estimation of how likely it is that policymakers adopt Plan A. Hosted on Acast. See acast.com/privacy for more information.
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. Upgrade to Pro for 15, or Premium for 50. Browse our full catalog at /podcasts.
How often does Scaling Laws release new episodes?
Scaling Laws publishes 2x 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.