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A Roadmap for Sensible AI Regulation

City Journal · · International · AI Governance

City Journal has published a piece outlining a proposed framework for regulating artificial intelligence, suggesting a structured approach to oversight that aims to balance innovation with accountability.

Why this matters: AI regulation is not an abstract policy debate. It determines who is liable when an AI system harms someone, what data gets used to train these tools, and whether regulators can actually keep up. A 'sensible' framework sounds appealing, but the details matter more than the label. Sensible for whom? For the companies building the systems, or for the people affected by them? Any roadmap worth taking seriously has to answer that question first.

Who should care: AI governance · Lawyers · Administrators · Compliance · General readers · 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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K Knowledge at Wharton · · International

The AI Regulation Fight Is About Speed. It Should Be About Measurement

A Wharton analysis argues that debates over AI regulation are focused on the wrong variable. The real issue, the piece contends, is not how fast AI is regulated but whether anyone has reliable ways to measure its effects in the first place.

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

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