Gillian Hadfield

Join Rumman Chowdry, the first U.S. Science Envoy for AI, Mark Dredze, a bias researcher from Johns Hopkins, and economist-turned-AI scholar Gillian Hadfield as they delve into AI's ethical minefield. They address the haunting question: can we create unbiased AI? The trio also discusses the frightening realities of AI under potential future administrations, the need for robust legal frameworks, and the risks of stifling innovation amid the AI hype. It’s a thought-provoking exploration of the urgent need for responsible AI development.

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.