Scaling Laws Live from Ashby: Adaptive AI Governance with Gillian Hadfield and Andrew Freedman
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Feb 17, 2026 
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.
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License Independent Verifiers
- Create licensed independent verification organizations (IVOs) that prove systems meet government‑set outcome standards.
- Use competition among IVOs to drive better, cheaper verification and continual improvement.
Regulation Needs Its Own Market
- Private investment must flow into a new regulatory technology that operationalizes outcome tests.
- Jillian Hadfield says this sector should attract capital to develop tests, red‑teaming, and evaluation protocols.
Measure Outcomes, Not Checkboxes
- Certification should measure ongoing outcomes (e.g., emissions, harms), not checkbox processes.
- Andrew Freedman contrasts outcome measurement with static, process‑based certifications like LEED.
