Scaling Laws: Live from Ashby: Adaptive AI Governance with Gillian Hadfield and Andrew Freedman
.png?sfvrsn=94f97f2c_3)
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.
Kevin Frazier is a Senior Fellow at the Abundance Institute, Director of the AI Innovation and Law Program at the University of Texas School of Law, a Senior Editor at Lawfare, and a Adjunct Research Fellow at the Cato Institute.
Gillian K. Hadfield is the Bloomberg Distinguished Professor of AI Alignment and Governance at the Whiting School of Engineering and the School of Government Policy.
Andrew Freedman is a co-founder and chief strategic officer at Fathom
