Develop regulatory frameworks for modern AI systems

Determine whether and how governments should regulate the development and deployment of frontier foundation models built in private laboratories, specifying the scope and mechanisms of regulatory access needed to evaluate safety and performance when independent replication is infeasible.

Background

Unlike traditional industries where products can be tested independently, frontier AI models cannot be readily replicated or evaluated without access to proprietary training data and procedures. The authors argue that regulators and academics need access to information considered proprietary, yet acknowledge that policymakers lack clarity on appropriate regulatory approaches in this domain.