Twenty-three actionable policy recommendations target the risks of automating AI research and development. The Institute for Progress categorized these ideas into seven areas to help policymakers manage recursive self-improvement. These low-regret moves aim to accelerate capability diffusion. Practitioners should monitor these proposals as they may influence United States regulatory frameworks for frontier models.