OpenAI outlines principles for third-party AI safety assessments

OpenAI has outlined key priorities and principles for third-party assessments of AI safety, emphasizing the need for independence, scientific rigor, and robust security practices. The company aims to support independent assessments with deep access to technical safeguards, confidential data, and internal deployment processes. These assessments are intended to evaluate whether safety claims are substantiated and whether safeguards function effectively under realistic conditions. OpenAI highlights four priority areas, including the independent evaluation of safety cases, critical safeguards, capability assessments for preparedness risks, and investigations into misalignment incidents. The company stresses the importance of transparent methodologies, proportionate access, and expert independence to ensure assessments are both rigorous and secure. The guidelines also address the need for clear, mutually agreed-upon claims and scope for assessments, ensuring that third parties and labs align on what is being evaluated. OpenAI underscores the role of independent investigations in identifying gaps in alignment methods and safeguards, particularly in cases of model misalignment. The company emphasizes that these assessments should inform safety cases and contribute to the development of international standards for AI safety and security practices.