Arbiters of Truth

An impasse is coming to a head. The resolution is unknown. The Department of Defense has made clear that Anthropic has until 5:01pm ET today, February 27th, 2026, to permit its use of Claude for any lawful purpose. CEO Dario Amodei doubled down on his insistence that Anthropic tools should not be used for mass domestic surveillance or the operation of lethal autonomous weapons. The Pentagon's Spokesman agrees that such usage would indeed be unlawful and yet, the two parties cannot come to terms. If the DOD is to be taken at its word, the likely result is that Anthropic will be labled as a supply chain risk--an unprecedented decision with huge business ramifications. Alan Rozenshtein, Associate Professor at Minnesota Law and Research Director at Lawfare, joins Kevin Frazier, Senior Fellow at the Abudnance Institute and a Senior Editor at Lawfare, to break this all down.You can also read more on this weighty issue via Alan's two recent Lawfare pieces here and here. Hosted on Acast. See acast.com/privacy for more information.

Alan Rozenshtein, research director at Lawfare, spoke with Cullen O'Keefe, research director at the Institute for Law & AI, and Kevin Frazier, AI Innovation and Law Fellow at the University of Texas at Austin School of Law and senior editor at Lawfare, about their paper, "Automated Compliance and the Regulation of AI" (and associated Lawfare article), which argues that AI systems can automate many regulatory compliance tasks, loosening the trade-off between safety and innovation in AI policy.The conversation covered the disproportionate burden of compliance costs on startups versus large firms; the limitations of compute thresholds as a proxy for targeting AI regulation; how AI can automate tasks like transparency reporting, model evaluations, and incident disclosure; the Goodhart's Law objection to automated compliance; the paper's proposal for "automatability triggers" that condition regulation on the availability of cheap compliance tools; analogies to sunrise clauses in other areas of law; incentive problems in developing compliance-automating AI; the speculative future of automated compliance meeting automated governance; and how co-authoring the paper shifted each author's views on the AI regulation debate. Hosted on Acast. See acast.com/privacy for more information.

Alan Rozenshtein, research director at Lawfare, and Kevin Frazier, senior editor at Lawfare, spoke with Amanda Askell, head of personality alignment at Anthropic, about Claude's Constitution: a 20,000-word document that describes the values, character, and ethical framework of Anthropic's flagship AI model and plays a direct role in its training.The conversation covered how the constitution is used during supervised learning and reinforcement learning to shape Claude's behavior; analogies to constitutional law, including fidelity to text, the potential for a body of "case law," and the principal hierarchy of Anthropic, operators, and users; the decision to ground the constitution in virtue ethics and practical judgment rather than rigid rules; the document's treatment of Claude's potential moral patienthood and the question of AI personhood; whether the constitution's values are too Western and culturally specific; the tension between Anthropic's commercial incentives and its stated mission; and whether the constitutional approach can generalize to specialized domains like cybersecurity and military applications. Hosted on Acast. See acast.com/privacy for more information.

Kevin Frazier sits down with Andrew Freedman of Fathom and Gillian Hadfield, AI governance scholar, at the Ashby Workshops to examine innovative models for AI regulation.They discuss:Why traditional regulation struggles with rapid AI innovation.The concept of Regulatory Markets and how it aligns with the unique governance challenges posed by AI.Critiques of hybrid governance: concerns about a “race to the bottom,” the limits of soft law on catastrophic risks, and how liability frameworks interact with governance.What success looks like for Ashby Workshops and the future of adaptive AI policy design.Whether you're a policy wonk, technologist, or governance skeptic, this episode bridges ideas and practice in a time of rapid technological change. Hosted on Acast. See acast.com/privacy for more information.

Alan Rozenshtein, research director at Lawfare, and Renee DiResta, associate research professor at Georgetown University's McCourt School of Public Policy and contributing editor at Lawfare, spoke with David Rand, professor of information science, marketing, and psychology at Cornell University.The conversation covered how inattention to accuracy drives misinformation sharing and the effectiveness of accuracy nudges; how AI chatbots can durably reduce conspiracy beliefs through evidence-based dialogue; research showing that conversational AI can shift voters' candidate preferences, with effect sizes several times larger than traditional political ads; the finding that AI persuasion works through presenting factual claims, but that the claims need not be true to be effective; partisan asymmetries in misinformation sharing; the threat of AI-powered bot swarms on social media; the political stakes of training data and system prompts; and the policy case for transparency requirements. Additional reading:"Durably Reducing Conspiracy Beliefs Through Dialogues with AI" - Science (2024)"Persuading Voters Using Human-Artificial Intelligence Dialogues" - Nature (2025)"The Levers of Political Persuasion with Conversational Artificial Intelligence" Science (2025)"How Malicious AI Swarms Can Threaten Democracy" - Science (2026) Hosted on Acast. See acast.com/privacy for more information.

Nathan Labenz, host of the Cognitive Revolution, sat down with Alan and Kevin to talk about the intersection of AI and the law. The trio explore everything from how AI may address the shortage of attorneys in rural communities to the feasibility and desirability of the so-called "Right to Compute." Learn more about the Cognitive Revolution here. It's our second favorite AI podcast! Hosted on Acast. See acast.com/privacy for more information.

Most folks agree that AI is going to drastically change our economy, the nature of work, and the labor market. What's unclear is when those changes will take place and how best Americans can navigate the transition. Brent Orrell, senior fellow at the American Enterprise Institute, joins Kevin Frazier, a Senior Fellow at the Abundance Institute, the Director of the AI Innovation and Law Fellow at the University of Texas School of Law, and a Senior Editor at Lawfare, to help tackle these and other weighty questions.Orrell has been studying the future of work since before it was cool. His two cents are very much worth a nickel in this important conversation. Send us your feedback (scalinglaws@lawfaremedia.org) and leave us a review! Hosted on Acast. See acast.com/privacy for more information.

Jakub Kraus, a Tarbell Fellow at Lawfare, spoke with Alan Rozenshtein, Associate Professor of Law at the University of Minnesota and Research Director at Lawfare, and Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law, a Senior Fellow at the Abundance Institute, and a Senior Editor at Lawfare, about Anthropic's newly released "constitution" for its AI model, Claude. The conversation covered the lengthy document's principles and underlying philosophical views, what these reveal about Anthropic's approach to AI development, how market forces are shaping the AI industry, and the weighty question of whether an AI model might ever be a conscious or morally relevant being. Mentioned in this episode:Kevin Frazier, "Interpreting Claude's Constitution," LawfareAlan Rozenshtein, "The Moral Education of an Alien Mind," Lawfare Hosted on Acast. See acast.com/privacy for more information.

Shlomo Klapper, founder of Learned Hand, joins Kevin Frazier, the Director of the AI Innovation and Law Fellow at the University of Texas School of Law, a Senior Fellow at the Abundance Institute, and a Senior Editor at Lawfare, to discuss the rise of judicial AI, the challenges of scaling technology inside courts, and the implications for legitimacy, due process, and access to justice. Hosted on Acast. See acast.com/privacy for more information.

Alan Rozenshtein, research director at Lawfare, spoke with Francis Shen, Professor of Law at the University of Minnesota, director of the Shen Neurolaw Lab, and candidate for Hennepin County Attorney.The conversation covered the intersection of neuroscience, AI, and criminal justice; how AI tools can improve criminal investigations and clearance rates; the role of AI in adjudication and plea negotiations; precision sentencing and individualized justice; the ethical concerns around AI bias, fairness, and surveillance; the practical challenges of implementing AI systems in local government; building institutional capacity and public trust; and the future of the prosecutor's office in an AI-augmented justice system. Hosted on Acast. See acast.com/privacy for more information.

Ziad Reslan, a member of OpenAI's Product Policy Staff and a Senior Fellow with the Schmidt Program on Artificial Intelligence, Emerging Technologies, and National Power at Yale University, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to talk about iterative deployment--the lab's approach to testing and deploying its models. It's a complex and, at times, controversial approach. Ziad provides the rationale behind iterative deployment and tackles some questions about whether the strategy has always worked as intended. Hosted on Acast. See acast.com/privacy for more information.

Connecticut State Senator James Maroney and Neil Chilson, Head of AI Policy at the Abundance Institute, join Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, and Alan Rozenstein, Associate Professor at Minnesota Law and Research Director at Lawfare, for a look back at a wild year in AI policy. Neil provides his expert analysis of all that did (and did not) happen at the federal level. Senator Maroney then examines what transpired across the states. The four then offer their predictions for what seems likely to be an even busier 2026. Hosted on Acast. See acast.com/privacy for more information.

Alan Z. Rozenshtein, Lawfare senior editor and associate professor of law the University of Minnesota, speaks with Cass Sunstein, the Robert Walmsley University Professor at Harvard University, about his new book, Imperfect Oracle: What AI Can and Cannot Do. They discuss when we should trust algorithms over our own judgment, why AI can eliminate the noise and bias that plague human decision-making but can't predict revolutions, cultural hits, or even a coin flip—and, perhaps most importantly, when it makes sense to delegate our choices to AI and when we should insist on deciding for ourselves. Hosted on Acast. See acast.com/privacy for more information.

Renée DiResta, Lawfare contributing editor and associate research professor at Georgetown's McCourt School of Public Policy, and Alan Z. Rozenshtein, Lawfare senior editor and associate professor of law the University of Minnesota, spoke with Jacob Mchangama, research professor of political science at Vanderbilt University and founder of The Future of Free Speech, and Jacob Shapiro, the John Foster Dulles Professor of International Affairs at Princeton University. The conversation covered the findings of a new report examining how AI models handle contested speech; comparative free speech regulations across six jurisdictions; empirical testing of how major chatbots respond to politically sensitive prompts; and the tension between free expression principles and concerns about manipulation in AI systems. Hosted on Acast. See acast.com/privacy for more information.

In this rapid response episode, Lawfare senior editors Alan Rozenshtein and Kevin Frazier and Lawfare Tarbell fellow Jakub Kraus discuss President Trump's new executive order on federal preemption of state AI laws, the politics of AI regulation and the split between Silicon Valley Republicans and MAGA populists, and the administration's decision to allow Nvidia to export H200 chips to China. Mentioned in this episode:Executive Order: Ensuring a National Policy Framework for Artificial IntelligenceCharlie Bullock, "Legal Issues Raised by the Proposed Executive Order on AI Preemption," Institute for Law & AI Hosted on Acast. See acast.com/privacy for more information.

Graham Dufault, General Counsel at ACT | The App Association, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to explore how small- and medium-sized enterprises (SMEs) are navigating the EU's AI regulatory framework. The duo breakdown the Association's recent survey of SMEs, which included the views of more than 1,000 enterprises and assessed their views on regulation and adoption of AI. Follow Graham: @GDufault and ACT | The App Association: @actonline Hosted on Acast. See acast.com/privacy for more information.

Caleb Withers, a researcher at the Center for a New American Security, 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 frontier models shift the balance in favor of attackers in cyberspace. The two discuss how labs and governments can take steps to address these asymmetries favoring attackers, and the future of cyber warfare driven by AI agents.Jack Mitchell, a student fellow in the AI Innovation and Law Program at the University of Texas School of Law, provided excellent research assistance on this episode.Check out Caleb's recent research here. Hosted on Acast. See acast.com/privacy for more information.

Andrew Prystai, CEO and co-founder of Vesta, and Thomas Bueler-Faudree, co-founder of August Law, join Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to think through AI policy from the startup perspective. Andrew and Thomas are the sorts of entrepreneurs that politicians on both sides of the aisle talk about at town halls and press releases. They're creating jobs and pushing the technological frontier. So what do they want AI policy leaders to know as lawmakers across the country weigh regulatory proposals? That's the core question of the episode. Giddy up for a great chat! Learn more about the guests and their companies here:Andrew's Linkedin, Vesta's LinkedinThomas's LinkedIn, August's LinkedIn Hosted on Acast. See acast.com/privacy for more information.

Jeff Bleich, General Counsel at Anthropic, former Chief Legal Officer at Cruise, and former Ambassador to Australia during the Obama administration, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to get a sense of how the practice of law looks at the edge of the AI frontier.The two also review how Jeff's prior work in the autonomous vehicle space prepared him for the challenges and opportunities posed by navigating legal uncertainties in AI governance. Hosted on Acast. See acast.com/privacy for more information.

Anton Korinek, a professor of economics at the University of Virginia and newly appointed economist to Anthropic's Economic Advisory Council, Nathan Goldschlag, Director of Research at the Economic Innovation Group, and Bharat Chander, Economist at Stanford Digital Economy Lab, join Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to sort through the myths, truths, and ambiguities that shape the important debate around the effects of AI on jobs. We discuss what happens when machines begin to outperform humans in virtually every computer-based task, how that transition might unfold, and what policy interventions could ensure broadly shared prosperity.These three are prolific researchers. Give them a follow to find their latest works.Anton: @akorinek on XNathan: @ngoldschlag and @InnovateEconomy on XBharat: X: @BharatKChandar, LinkedIn: @bharatchandar, Substack: @bharatchandar Hosted on Acast. See acast.com/privacy for more information.

Gabriel Nicholas, a member of the Product Public Policy team at Anthropic, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to introduce the policy problems (and some solutions) posed by AI agents. Defined as AI tools capable of autonomously completing tasks on your behalf, it's widely expected that AI agents will soon become ubiquitous. The integration of AI agents into sensitive tasks presents a slew of technical, social, economic, and political questions. Gabriel walks through the weighty questions that labs are thinking through as AI agents finally become “a thing.” Hosted on Acast. See acast.com/privacy for more information.

Alan Rozenshtein, senior editor at Lawfare, spoke with Brett Goldstein, special advisor to the chancellor on national security and strategic initiatives at Vanderbilt University; Brett Benson, associate professor of political science at Vanderbilt University; and Renée DiResta, Lawfare contributing editor and associate research professor at Georgetown University's McCourt School of Public Policy.The conversation covered the evolution of influence operations from crude Russian troll farms to sophisticated AI systems using large language models; the discovery of GoLaxy documents revealing a "Smart Propaganda System" that collects millions of data points daily, builds psychological profiles, and generates resilient personas; operations targeting Hong Kong's 2020 protests and Taiwan's 2024 election; the fundamental challenges of measuring effectiveness; GoLaxy's ties to Chinese intelligence agencies; why detection has become harder as platform integrity teams have been rolled back and multi-stakeholder collaboration has broken down; and whether the United States can get ahead of this threat or will continue the reactive pattern that has characterized cybersecurity for decades.Mentioned in this episode:"The Era of A.I. Propaganda Has Arrived, and America Must Act" by Brett J. Goldstein and Brett V. Benson (New York Times, August 5, 2025)"China Turns to A.I. in Information Warfare" by Julian E. Barnes (New York Times, August 6, 2025)"The GoLaxy Papers: Inside China's AI Persona Army" by Dina Temple-Raston and Erika Gajda (The Record, September 19, 2025)"The supply of disinformation will soon be infinite" by Renée DiResta (The Atlantic, September 2020) Hosted on Acast. See acast.com/privacy for more information.

California State Senator Scott Wiener, author of Senate Bill 53--a frontier AI safety bill--signed into law by Governor Newsom earlier this month, joins Alan Rozenshtein, Associate Professor at Minnesota Law and Research Director at Lawfare, and Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to explain the significance of SB 53 in the large debate about how to govern AI.The trio analyze the lessons that Senator Wiener learned from the battle of SB 1047, a related bill that Newsom vetoed last year, explore SB 53's key provisions, and forecast what may be coming next in Sacramento and D.C. Hosted on Acast. See acast.com/privacy for more information.

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.

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-designhttps://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.

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.

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-towerLearn about the Conference: https://www.theihs.org/blog/curated-event/technology-abundance-and-liberalism/ Hosted on Acast. See acast.com/privacy for more information.

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.

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.

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.

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.

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.

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.

MacKenzie Price, co-founder of Alpha School, and Rebecca Winthrop, a senior fellow and director of the Center for Universal Education at the Brookings Institution, join Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to review how AI is being integrated into the classroom at home and abroad. MacKenzie walks through the use of predictive AI in Alpha School classrooms. Rebecca provides a high-level summary of ongoing efforts around the globe to bring AI into the education pipeline. This conversation is particularly timely in the wake of the AI Action Plan, which built on the Trump administration's prior calls for greater use of AI from K to 12 and beyond. Learn more about Alpha School here: https://www.nytimes.com/2025/07/27/us/politics/ai-alpha-school-austin-texas.html and here: https://www.astralcodexten.com/p/your-review-alpha-schoolLearn about the Brookings Global Task Force on AI in Education here: https://www.brookings.edu/projects/brookings-global-task-force-on-ai-in-education/ Hosted on Acast. See acast.com/privacy for more information.

Keegan McBride, Senior Policy Advisor in Emerging Technology and Geopolitics at the Tony Blair Institute, and Nathan Lambert, a post-training lead at the Allen Institute for AI, join Alan Rozenshein, Associate Professor at Minnesota Law and Research Director at Lawfare, and Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to explore the current state of open source AI model development and associated policy questions.The pivot to open source has been swift following initial concerns that the security risks posed by such models outweighed their benefits. What this transition means for the US AI ecosystem and the global AI competition is a topic worthy of analysis by these two experts. Hosted on Acast. See acast.com/privacy for more information.

Alan Rozenshtein, research director at Lawfare, sat down with Sam Winter-Levy, a fellow in the Technology and International Affairs Program at the Carnegie Endowment for International Peace; Janet Egan, a senior fellow with the Technology and National Security Program at the Center for a New American Security; and Peter Harrell, a nonresident fellow at Carnegie and a former senior director for international economics at the White House National Security Council under President Joe Biden.They discussed the Trump administration's recent decision to allow U.S. companies Nvidia and AMD to export a range of advanced AI semiconductors to China in exchange for a 15% payment to the U.S. government. They talked about the history of the export control regime targeting China's access to AI chips, the strategic risks of allowing China to acquire powerful chips like the Nvidia H20, and the potential harm to the international coalition that has worked to restrict China's access to this technology. They also debated the statutory and constitutional legality of the deal, which appears to function as an export tax, a practice explicitly prohibited by the Constitution.Mentioned in this episode:The Financial Times article breaking the news about the Nvidia dealThe Trump Administration's AI Action Plan Hosted on Acast. See acast.com/privacy for more information.

Join us on Scaling Laws as we delve into the intricate world of AI policy with Dean Ball, former senior policy advisor at the White House's Office of Science and Technology Policy. Discover the behind-the-scenes insights into the Trump administration's AI Action Plan, the challenges of implementing AI policy at the federal level, and the evolving political landscape surrounding AI on the right. Dean shares his unique perspective on the opportunities and hurdles in shaping AI's future, offering a candid look at the intersection of technology, policy, and politics. Tune in for a thought-provoking discussion that explores the strategic steps America can take to lead in the AI era. Hosted on Acast. See acast.com/privacy for more information.

In this episode, we talk about the intricate world of AI liability through the lens of agency law. Join us as Anat Lior explores the compelling case for using agency law to address the legal challenges posed by AI agents. Discover how analogies, such as principal-agent relationships, can help navigate the complexities of AI liability, and why it's crucial to ensure that someone is held accountable when AI systems cause harm. Tune in for a thought-provoking discussion on the future of AI governance and the evolving landscape of legal responsibility. Hosted on Acast. See acast.com/privacy for more information.

Brian Fuller, product policy leader at OpenAI joins Kevin on the challenges of designing policies that ensure AI technologies are safe, aligned, and socially beneficial. From the fast-paced landscape of AI development to the balancing of innovation with ethical responsibility. Tune in to gain insights into the frameworks that guide AI's integration into society and the critical questions that shape its future. Hosted on Acast. See acast.com/privacy for more information.

Renée DiResta, an Associate Research Professor at the McCourt School of Public Policy at Georgetown join Alan Rozenshtein and Kevin Frazier, to take a look at the Trump Administration's Woke AI policies, as set forth by a recent EO and explored in the AI Action Plan. This episode unpacks the implications of prohibiting AI models that fail to pursue objective truth and espouse "DEI" values. Hosted on Acast. See acast.com/privacy for more information.

In this episode of Scaling Laws, Kevin Frazier is joined by Sayash Kapoor, co-author of "AI Snake Oil," to explore the complexities of AI development and its societal implications. They delve into the skepticism surrounding AGI claims, the real bottlenecks in AI adoption, and the transformative potential of AI as a general-purpose technology. Kapoor shares insights on the challenges of integrating AI into various sectors, the importance of empirical research, and the evolving nature of work in the AI era. The conversation also touches on the role of policy in shaping AI's future and the need for a nuanced understanding of AI's capabilities and limitations. Hosted on Acast. See acast.com/privacy for more information.

In this episode, join Kevin Frazier as he delves into the complex world of AI regulation with experts Lauren Wagner of the Abundance Institute and Andrew Freedman, Chief Strategy Officer at Fathom. As the AI community eagerly awaits the federal government's AI action plan, our guests explore the current regulatory landscape and the challenges of implementing effective governance with bills like SB 813. Innovative approaches are being proposed, including the role of independent verification organizations and the potential for public-private partnerships.Be sure to check out Fathom's Substack here: https://fathomai.substack.com/subscribe?params=%5Bobject%20Object%5D Hosted on Acast. See acast.com/privacy for more information.

Janet Egan, Senior Fellow with the Technology and National Security Program at the Center for a New American Security, Jessica Brandt, Senior Fellow for Technology and National Security at the Council on Foreign Relations, Neil Chilson, Head of AI Policy at Abundance Institute, and Tim Fist, Director of Emerging Technology Policy at the Institute for Progress join Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare for a special version of Scaling Laws.This episode was recorded just hours after the release of the AI Action Plan. About 180 days ago, President Trump directed his administration to explore ways to achieve AI dominance. His staff has attempted to do just that. This group of AI researchers dives into the plan's extensive recommendations and explore what may come next. Hosted on Acast. See acast.com/privacy for more information.

Lt. Gen. (ret) Jack Shanahan joins Kevin Frazier to explore the nuanced landscape of AI in national security. Challenging the prevalent "AI arms race" narrative. The discussion delves into the complexities of AI integration in defense, the cultural shifts required within the Department of Defense, and the critical role of public trust and shared national vision. Tune in to understand how AI is reshaping military strategies and the broader implications for society. Hosted on Acast. See acast.com/privacy for more information.

Kevin Frazier brings Eugene Volokh, a senior fellow at the Hoover Institution and UCLA law professor, to explore the complexities of libel in the age of AI. Discover how AI-generated content challenges traditional legal frameworks and the implications for platforms under Section 230. This episode is a must-listen for anyone interested in the evolving landscape of AI and law. Hosted on Acast. See acast.com/privacy for more information.

Cass Madison, the Executive Director of the Center for Civic Futures, and Zach Boyd, Director of the AI Policy Office at the State of Utah, join Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to discuss how state governments are adjusting to the Age of AI. This conversation explores Cass's work to organize the increasing number of state officials tasked with thinking about AI adoption and regulation as well as Zach's experience leading one of the most innovative state AI offices. Hosted on Acast. See acast.com/privacy for more information.

In this episode of Scaling Laws, Alan and Kevin discuss the current state of AI growth, focusing on scaling laws, the future of AGI, and the challenges of AI integration into society with Ethan Mollick, Professor of Management at Wharton, specializing in entrepreneurship and innovation. They explore the bottlenecks in AI adoption, particularly the role of interfaces and the uncertainty surrounding AI development. Mollick discusses the transformative potential of AI in various fields, particularly education and medicine, as well as the need for empirical research to understand AI's impact, the importance of adapting teaching methods, and the challenges of cognitive de-skilling.More of Ethan Mollick's work: https://www.oneusefulthing.org/ Hosted on Acast. See acast.com/privacy for more information.

On the inaugural episode of Scaling Laws, co-hosts Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Law, and Alan Rozenshtein, Professor at Minnesota Law and Research Director at Lawfare, speak with Adam Thierer, a senior fellow for the Technology and Innovation team at the R Street Institute, and Helen Toner, the Director of Strategy and Foundational Research Grants at Georgetown's Center for Security and Emerging Technology (CSET).They discuss the recent overwhelming defeat in the Senate of a proposed moratorium on state and local regulation of artificial intelligence. The conversation explores the moratorium's journey from its inclusion in a House bill to its ultimate failure, examining the procedural hurdles, the confusing legislative language, and the political maneuvering that led to its demise by a 99-to-1 vote. The group discuss the future of U.S. AI governance, covering the Republican party's fragmentation on tech policy and whether Congress's failure to act is a sign of it being broken or a deliberate policy choice.Mentioned in this episode: “The Continuing Tech Policy Realignment on the Right” by Adam Thierer in Medium “1,000 AI Bills: Time for Congress to Get Serious About Preemption” by Kevin Frazier and Adam Thierer in Lawfare “Congress Should Preempt State AI Safety Legislation” by Dean W. Ball and Alan Z. Rozenshtein in Lawfare "The Coming Techlash Could Kill AI Innovation Before It Helps Anyone" by Kevin Frazier in Reason "Unresolved debates about the future of AI" by Helen Toner in Rising Tide 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. Alan and Kevin 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.

Last week the House of Representatives overwhelmingly passed a bill that would require ByteDance, the Chinese company that owns the popular social media app TikTok, to divest its ownership in the platform or face TikTok being banned in the United States. Although prospects for the bill in the Senate remain uncertain, President Biden has said he will sign the bill if it comes to his desk, and this is the most serious attempt yet to ban the controversial social media app.Today's podcast is the latest in a series of conversations we've had about TikTok. Matt Perault, the Director of the Center on Technology Policy at the University of North Carolina at Chapel Hill, led a conversation with Alan Rozenshtein, Associate Professor of Law at the University of Minnesota and Senior Editor at Lawfare, and Ramya Krishnan, a Senior Staff Attorney at the Knight First Amendment Institute at Columbia University. They talked about the First Amendment implications of a TikTok ban, whether it's a good idea as a policy matter, and how we should think about foreign ownership of platforms more generally.Disclaimer: Matt's center receives funding from foundations and tech companies, including funding from TikTok. Hosted on Acast. See acast.com/privacy for more information.

Today, we're bringing you an episode of Arbiters of Truth, our series on the information ecosystem.On March 18, the Supreme Court heard oral arguments in Murthy v. Missouri, concerning the potential First Amendment implications of government outreach to social media platforms—what's sometimes known as jawboning. The case arrived at the Supreme Court with a somewhat shaky evidentiary record, but the legal questions raised by government requests or demands to remove online content are real. To make sense of it all, Lawfare Senior Editor Quinta Jurecic and Matt Perault, the Director of the Center on Technology Policy at UNC-Chapel Hill, called up Alex Abdo, the Litigation Director of the Knight First Amendment Institute at Columbia University. While the law is unsettled, the Supreme Court seemed skeptical of the plaintiffs' claims of government censorship. But what is the best way to determine what contacts and government requests are and aren't permissible?If you're interested in more, you can read the Knight Institute's amicus brief in Murthy here and Knight's series on jawboning—including Perault's reflections—here. Hosted on Acast. See acast.com/privacy for more information.