OpenAI has released a set of priorities and principles aimed at strengthening independent third-party assessments of its frontier AI models. The initiative focuses on ensuring that external assessors can effectively evaluate safety claims and safeguard effectiveness through deep access to training, evaluation, and deployment data.
OpenAI Proposes Priorities and Principles for Independent Third-Party AI Safety Assessments
The company identified four key priority areas for deeper assessment:
- Independent assessment of safety cases covering training, evaluation, and deployment.
- Assessment of critical safeguards across internal and external deployments.
- Evaluation of preparedness risk categories, including chemical, biological, and cybersecurity risks.
- Independent investigation of critical misalignment incidents.
To support these efforts, OpenAI emphasized the need for strong independence mechanisms, scientific rigor, and robust security practices. The framework aims to provide assessors with proportionate access to technical safeguards and confidential data while protecting sensitive information. OpenAI stated its commitment to supporting a diverse community of independent assessors to help establish international standards for AI safety and security.
Sources
- Priorities and principles for effective third party assessments （OpenAI News, 2026-09-22）
- OpenAI Foundation