Core open questions in frontier AI regulation

Investigate and resolve core open questions in frontier AI regulation by defining the regulatory target for frontier AI systems, identifying effective enforcement measures, and designing new models of supervision for frontier AI developers.

Background

The authors conclude that foundational aspects of frontier AI regulation remain unsettled. These include how to precisely define the regulatory target (material, personal, territorial, and temporal scope), which enforcement mechanisms are most effective, and what supervisory models are appropriate for overseeing frontier AI developers.

Addressing these questions is essential for building a coherent regulatory regime that mitigates risks while supporting innovation, and for tailoring approaches to the legal and institutional contexts of specific jurisdictions.