OpenAI is standardizing how outside researchers evaluate its frontier systems. In a new playbook, the company describes what third parties should examine when testing model capabilities, safeguards, and the validity of those evaluations. The aim is to make external assessments more consistent and trustworthy as AI systems become more capable.
Separately, OpenAI published its Frontier Governance Framework, which maps the company's safety, security, and risk practices onto upcoming EU and California regulatory expectations. The governance document is broader in scope, covering how internal processes align with legal requirements, whereas the evaluation playbook focuses specifically on the mechanics of independent testing.
Together, the two releases show a coherent approach: third-party evaluations provide external accountability, while the governance framework grounds that work in formal risk-management structures. The sources do not conflict; they address different layers of the same effort—one operational, one regulatory.