Scaling Laws

Lawfare & University of Texas Law School
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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.

  1. 4 दिन पहले

    AI and Energy: What do we know? What are we learning?

    Mosharaf Chowdhury, associate professor at the University of Michigan and director of the ML Energy lab, and Dan Zhao, AI researcher at MIT, GoogleX, and Microsoft focused on AI for science and sustainable and energy-efficient AI, join Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to discuss the energy costs of AI.    They break down exactly how much a energy fuels a single ChatGPT query, why this is difficult to figure out, how we might improve energy efficiency, and what kinds of policies might minimize AI’s growing energy and environmental costs.    Leo Wu provided excellent research assistance on this podcast.   Read more from Mosharaf: https://ml.energy/  https://www.technologyreview.com/2025/05/20/1116327/ai-energy-usage-climate-footprint-big-tech/   Read more from Dan: https://arxiv.org/abs/2310.03003’ https://arxiv.org/abs/2301.11581 Hosted on Acast. See acast.com/privacy for more information.

    52 मिनट

  2. 7 अक्टू॰

    AI Safety Meet Trust & Safety with Ravi Iyer and David Sullivan

    David Sullivan, Executive Director of the Digital Trust & Safety Partnership, and Rayi Iyer, Managing Director of the Psychology of Technology Institute at USC’s Neely Center, join join Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to discuss the evolution of the Trust & Safety field and its relevance to ongoing conversations about how best to govern AI.     They discuss the importance of thinking about the end user in regulation, debate the differences and similarities between social media and AI companions, and evaluate current policy proposals.   You’ll “like” (bad pun intended) this one.   Leo Wu provided excellent research assistance to prepare for this podcast.   Read more from David: https://www.weforum.org/stories/2025/08/safety-product-build-better-bots/ https://www.techpolicy.press/learning-from-the-past-to-shape-the-future-of-digital-trust-and-safety/   Read more from Ravi: https://shows.acast.com/arbiters-of-truth/episodes/ravi-iyer-on-how-to-improve-technology-through-design https://open.substack.com/pub/psychoftech/p/regulate-value-aligned-design-not?r=2alyy0&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false    Read more from Kevin: https://www.cato.org/blog/california-chatroom-ab-1064s-likely-constitutional-overreach Hosted on Acast. See acast.com/privacy for more information.

    47 मिनट

  3. 30 सित॰

    Rapid Response: California Governor Newsom Signs SB-53

    In this Scaling Laws rapid response episode, hosts Kevin Frazier and Alan Rozenshtein talk about SB-53, the frontier AI transparency (and more) law that California Governor Gavin Newsom signed into law on September 29. Hosted on Acast. See acast.com/privacy for more information.

    36 मिनट

  4. 30 सित॰

    The Ivory Tower and AI (Live from IHS's Technology, Liberalism, and Abundance Conference).

    Neil Chilson, Head of AI Policy at the Abundance Institute, and Gus Hurwitz, Senior Fellow and CTIC Academic Director at Penn Carey Law School and Director of Law & Economics Programs at the International Center for Law & Economics, join Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to explore how academics can overcome the silos and incentives that plague the Ivory Tower and positively contribute to the highly complex, evolving, and interdisciplinary work associated with AI governance.   The trio recorded this podcast live at the Institute for Humane Studies’s Technology, Liberalism, and Abundance Conference in Arlington, Virginia. Read about Kevin's thinking on the topic here: https://www.civitasinstitute.org/research/draining-the-ivory-tower Learn about the Conference: https://www.theihs.org/blog/curated-event/technology-abundance-and-liberalism/ Hosted on Acast. See acast.com/privacy for more information.

    43 मिनट

  5. 23 सित॰

    AI and Young Minds: Navigating Mental Health Risks with Renee DiResta and Jess Miers

    Alan Rozenshtein, Renee DiResta, and Jess Miers discuss the distinct risks that generative AI systems pose to children, particularly in relation to mental health. They explore the balance between the benefits and harms of AI, emphasizing the importance of media literacy and parental guidance. Recent developments in AI safety measures and ongoing legal implications are also examined, highlighting the evolving landscape of AI regulation and liability. Hosted on Acast. See acast.com/privacy for more information.

    59 मिनट

  6. 16 सित॰

    AI Copyright Lawsuits with Pam Samuelson

    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 मिनट

  7. 11 सित॰

    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.

    58 मिनट

  8. 9 सित॰

    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 मिनट
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ट्रेलर

परिचय

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.

जानकारी

  • निर्माता
    Lawfare & University of Texas Law School
  • सक्रिय वर्ष
    2022 - 2025
  • एपिसोड
    178
  • रेटिंग
    श्लील
  • कॉपीराइट
    © Lawfare
  • कार्यक्रम की वेबसाइट
    Scaling Laws

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