A shared playbook for trustworthy third party evaluations

OpenAI has published a blog post outlining a framework for conducting trustworthy third-party evaluations of frontier AI models. The guidance covers key areas such as assessing model capabilities, evaluating safeguards, and ensuring the validity of evaluation results. According to OpenAI, a shared playbook helps standardize evaluation practices across the industry, making it easier for developers and external auditors to compare model performance and safety. The post emphasizes the importance of transparency and reproducibility in evaluations, and suggests that third-party evaluators should clearly document their methods and assumptions. This comes amid growing calls from regulators and the public for more accountability in AI development, particularly for powerful models that could pose systemic risks. For practitioners building AI workflows, the playbook offers a reference for what to look for when selecting or auditing AI services, and how to contribute to safer deployment practices.