Third-Party Safety Evaluations for Artificial Intelligence Laboratories

OpenAI has shared four priority areas and foundational principles it has established for third-party technical safety evaluations during the safe training, evaluation, and deployment processes of artificial intelligence models.

The Importance of Third-Party Evaluations

Leading artificial intelligence laboratories bear a great responsibility regarding the safe training, evaluation, and deployment of models. Third-party evaluations play a critical role in balancing this responsibility.

Priority Evaluation Areas

The priorities shared by OpenAI include safety incidents, critical safeguards, capability evaluations, and independent misalignment incident reviews. These areas aim to increase transparency in model development processes.

Principles of Effective Evaluation

For evaluations to be effective, strong independence mechanisms, scientific rigor, robust security practices, and clear responsibilities are required. Laboratories and independent evaluators must rely on shared standards.