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Vinh Nguyen, Elham Tabassi, and Kat Duffy on How to Design a Better AI Regulator

Lawfare · · US Federal · AI Governance

Vinh Nguyen, Elham Tabassi, and Kat Duffy published a piece in Lawfare laying out ideas for how to design a more effective AI regulatory body. The piece appears to address structural and institutional questions about how governments should organize oversight of AI systems.

Why this matters: Who regulates AI matters as much as what the rules say. A badly designed regulator can be captured by the industry it oversees, move too slowly to keep up, or lack the technical staff to understand what it is actually looking at. Getting the structure right before problems pile up is the unglamorous work that determines whether AI oversight has any real teeth. People who care about accountability should pay attention to this conversation now, not after the institution is already built.

Who should care: Lawyers · Compliance · General readers · AI governance · Policy

This summary is AI-assisted and may contain errors. It is an original briefing to help you gauge significance quickly — not a reproduction of the source. Always read the linked original before relying on it. See our methodology.

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