On today's Scaling Laws episode, Alan Rozenshtein sat down with Pam Samuelson, the Richard M. Sherman Distinguished Professor of Law at the University of California, Berkeley, School of Law, to discuss the rapidly evolving legal landscape at the intersection of generative AI and copyright law. They dove into the recent district court rulings in lawsuits brought by authors against AI companies, including Bartz v. Anthropic and Kadrey v. Meta. They explored how different courts are treating the core questions of whether training AI models on copyrighted data is a transformative fair use and whether AI outputs create a “market dilution” effect that harms creators. They also touched on other key cases to watch and the role of the U.S. Copyright Office in shaping the debate. Mentioned in this episode:"How to Think About Remedies in the Generative AI Copyright Cases"by Pam Samuelson in LawfareAndy Warhol Foundation for the Visual Arts, Inc. v. GoldsmithBartz v. AnthropicKadrey v. Meta PlatformsThomson Reuters Enterprise Centre GmbH v. Ross Intelligence Inc.U.S. Copyright Office, Copyright and Artificial Intelligence, Part 3: Generative AI Training Hosted on Acast. See acast.com/privacy for more information.
--------
59:05
--------
59:05
AI and the Future of Work: Joshua Gans on Navigating Job Displacement
Joshua Gans, a professor at the University of Toronto and co-author of "Power and Prediction: The Disruptive Economics of Artificial Intelligence," joins Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to evaluate ongoing concerns about AI-induced job displacement, the likely consequences of various regulatory proposals on AI innovation, and how AI tools are already changing higher education. Select works by Gans include: A Quest for AI Knowledge (https://www.nber.org/papers/w33566)Regulating the Direction of Innovation (https://www.nber.org/papers/w32741)How Learning About Harms Impacts the Optimal Rate of Artificial Intelligence Adoption (https://www.nber.org/papers/w32105) Hosted on Acast. See acast.com/privacy for more information.
--------
57:56
--------
57:56
The State of AI Safety with Steven Adler
Steven Adler, former OpenAI safety researcher, author of Clear-Eyed AI on Substack, and independent AGI-readiness researcher, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law, to assess the current state of AI testing and evaluations. The two walk through Steven’s views on industry efforts to improve model testing and what he thinks regulators ought to know and do when it comes to preventing AI harms. You can read Steven’s Substack here: https://stevenadler.substack.com/ Thanks to Leo Wu for research assistance! Hosted on Acast. See acast.com/privacy for more information.
--------
47:23
--------
47:23
Contrasting and Conflicting Efforts to Regulate Big Tech: EU v. US
Anu Bradford, Professor at Columbia Law School, and Kate Klonick, Senior Editor at Lawfare and Associate Professor at St. John's University School of Law, join Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to assess the ongoing contrasting and, at times, conflicting regulatory approaches to Big Tech being pursued by the EU and US. The trio start with an assessment of the EU’s use of the Brussels Effect, coined by Anu, to shape AI development. Next, then explore the US’s increasingly interventionist industrial policy with respect to key sectors, especially tech. Read more:Anu’s op-ed in The New York TimesThe Impact of Regulation on Innovation by Philippe Aghion, Antonin Bergeaud & John Van ReenenDraghi Report on the Future of European Competitiveness Hosted on Acast. See acast.com/privacy for more information.
--------
46:15
--------
46:15
Uncle Sam Buys In: Examining the Intel Deal
Peter E. Harrell, Adjunct Senior Fellow at the Center for a New American Security, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to examine the White House’s announcement that it will take a 10% share of Intel. They dive into the policy rationale for the stake as well as its legality. Peter and Kevin also explore whether this is just the start of such deals given that President Trump recently declared that “there will be more transactions, if not in this industry then other industries.” Hosted on Acast. See acast.com/privacy for more information.
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.
USA