Priorities and Principles for Effective Third Party Assessments

OpenAI has published a framework outlining four priority areas and governing principles for third-party safety assessments of frontier AI models. The four priorities are: (1) independent assessment of full safety cases spanning training, evaluation, and deployment; (2) adversarial testing of critical safeguards including model-level, enforcement, and security controls; (3) evaluation of capability assessments covering Preparedness risk categories such as cyber, biological, and chemical risks; and (4) independent investigation of critical misalignment incidents. OpenAI commits to providing deep access—including visible chain-of-thought, confidential deployment data, and grey-box safeguard testing—to enable assessors to challenge assumptions and reach independent conclusions. The framework calls for shared international standards, pre-registered assessment claims, scientific rigor, and robust security practices as conditions for effective independent oversight. The document is explicitly positioned as complementary to government-led testing regimes and as a foundation for future public policy on frontier AI safety.