Priorities and principles for effective third party assessments
OpenAI charts the rules for how rivals will audit its models — and sets the standard everyone else must follow.
Why it matters
As frontier labs face mounting pressure for independent safety verification, OpenAI is publishing its framework for third-party assessments. This shapes what 'rigorous evaluation' means industry-wide and signals how much (or how little) model internals OpenAI is willing to expose.
The key facts
10 to knowOpenAI publishes formal priorities and principles for third-party AI safety assessments
Framework covers frontier models and safeguards evaluation
Addresses rigor, security, and independence in assessment design
Sets de facto standard for how industry conducts model audits
Reflects growing regulatory and competitive pressure for transparent safety verification
OpenAI framework for independent third-party AI safety assessments
Covers frontier models and safeguards evaluation
Emphasis on rigor, security, and independence
Published September 2026
Addresses regulatory and customer trust requirements
Go to the source
OpenAI Blogopenai.com
Publisher excerpt: OpenAI outlines priorities and principles for rigorous, secure, and independent third-party AI safety assessments of frontier models and safeguards.