Articles in this section explore if, when, and how to implement regulation that harnesses AI's benefits while limiting its risks.
In the absence of federal legislation, the burden of managing AI risks has fallen to judges and state legislators — actors lacking the tools needed to ensure consistency, enforceability, or fairness.
US lawmakers propose a new system to check where chips end up.
Dynamism vs. stasis is a clearer lens for criticizing controversial AI safety prescriptions.
Corporate capture of AI research—echoing the days of Big Tobacco—thwarts sensible policymaking.
Continued sales of advanced AI chips allow China to deploy AI at massive scale.
Realizing AI’s full potential requires designing for opportunity—not just guarding against risk.
AI risk may have unique elements, but there is still a lot to be learned from cybersecurity, enterprise, financial, and environmental risk management.
Autonomous systems are being rapidly deployed, but governance efforts are still in their infancy.