Andrew Freedman

Dr. Gillian Hadfield, a leader in AI regulation at Johns Hopkins, and Andrew Freedman from Fathom explore the creation of private regulatory markets for AI governance. They propose a system that differentiates between goal-setting by governments and technical rule-making by private certifiers, aiming to enhance safety standards. Key discussions include avoiding a race to the bottom among certifiers and lessons from cannabis regulation. The urgency for accountability and adapting legal frameworks around AI also take center stage, addressing the complexities of liability and compliance.

Gillian Hadfield, a law and policy scholar focused on adaptive regulation, and Andrew Freedman, strategist building AI governance frameworks at Fathom, explore novel models for overseeing fast-moving AI. They discuss regulatory markets, independent verification organizations, pitfalls of command-and-control rules, liability’s role, and how iterative, market-driven oversight could scale governance in practice.

Andrew Freedman, Chief Strategy Officer at Fathom, and Lauren Wagner from the Abundance Institute join the discussion on AI regulation. They delve into the urgent need for effective governance frameworks like California's Senate Bill 813. Topics include innovative approaches to AI safety, the significance of independent verification organizations, and the crucial role of public-private partnerships. The conversation also highlights challenges in regulatory implementation and the importance of collaboration to ensure accountability in AI technologies.