{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/61e878a1419a9b0013b27134/6993555eb1ca974bbcc9b851?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Live from Ashby: Adaptive AI Governance with Gillian Hadfield and Andrew Freedman","description":"<p>Kevin Frazier sits down with Andrew Freedman of <a href=\"https://fathom.org/\" rel=\"noopener noreferrer\" target=\"_blank\">Fathom</a> and <a href=\"https://gillianhadfield.org/\" rel=\"noopener noreferrer\" target=\"_blank\">Gillian Hadfield</a>, AI governance scholar, at the Ashby Workshops to examine innovative models for AI regulation.</p><p>They discuss:</p><p><br></p><ul><li>Why traditional regulation struggles with rapid AI innovation.</li><li>The concept of Regulatory Markets and how it aligns with the unique governance challenges posed by AI.</li><li>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.</li><li>What success looks like for Ashby Workshops and the future of adaptive AI policy design.</li></ul><p><br></p><p>Whether you’re a policy wonk, technologist, or governance skeptic, this episode bridges ideas and practice in a time of rapid technological change.</p>","author_name":"Lawfare & University of Texas Law School"}