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OpenAI's framework for independent AI safety assessments
OpenAI published a framework outlining priorities and principles for independent third-party assessments of its frontier AI models.
The company commits to providing deep access to assessors across training, evaluation, and deployment stages, and proposes four priority areas: independent assessment of safety cases spanning training through external deployment, assessment of critical safeguards, and evaluation of safety claims and evidence.
OpenAI emphasizes that effective assessments require strong independence mechanisms, scientific rigor, robust security practices, and shared international standards for safety and security.
From the source
Third party assessments are a critical part of balancing that responsibility, expanding opportunities for input on AI safety, keeping the world informed, and keeping labs accountable to clear and independently supported safety claims. As part of our efforts to pace the frontier, OpenAI is committed to supporting independent assessments with deep levels of access across training, evaluation, and deployment.
openai.com