The AI policy window is open. We need to act.

OpenAI argues that the rapid advancement of AI, including potential recursive self-improvement, requires urgent policy action beyond technical fixes alone. The company highlights that while internal safeguards are expanding, shared standards and coordinated slowing of development are necessary to address risks. It stresses that AI’s benefits—such as accelerating medical research and critical infrastructure—must be balanced with proportionate safety measures to prevent misuse.

The company outlines its own enhanced safeguards, including stronger isolation for frontier research, expanded monitoring during training, and mandatory alignment evaluations before deployment. OpenAI commits to slowing or stopping development when risks are deemed unacceptable, as required by its preparedness framework. It notes that fully autonomous recursive self-improvement is not yet occurring but acknowledges AI’s accelerating role in research tasks.

OpenAI calls for mandatory, capability-based national regulation in the U.S., proposing a federal framework with common testing, independent assessments, cybersecurity protections, and incident-reporting rules. It endorses legislation in Congress that raises safety standards and supports targeted obligations for well-resourced labs developing frontier systems, excluding smaller developers.

The company advocates for a balanced approach to AI governance, supporting both open and closed models while warning against policies that weaken competition or drive innovation overseas. It encourages states to adopt common safeguards, such as those in California’s SB 53 and New York’s RAISE Act, to create a de facto national baseline until federal action is taken.