"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis Private Governance: Creating a Market in AI Regulation, with Dr. Gillian Hadfield & Andrew Freedman
21 snips
Jul 22, 2025 
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.
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Governance Needs Agility and Markets
- AI governance demands agility to keep pace with rapid tech advancement and complex risk.
- Private regulatory markets could foster a race to the top in AI safety standards.
Need for Regulatory Innovation
- Traditional legal systems are too slow and rigid for fast-paced AI technology.
- We must innovate new regulatory techniques that harness market dynamics for AI oversight.
Cannabis Regulation Experience
- Andrew Freedman worked as Colorado’s cannabis czar, overseeing an iterative, adaptive regulatory rollout.
- This experience informs his belief that AI regulation must be flexible and responsive to fast-changing risks.