A shared playbook for trustworthy third party evaluations
OpenAI published guidance on trustworthy third-party evaluations for AI models, outlining methods to assess capabilities, safeguards, and validity. The playbook aims to help evaluators provide high-quality assessments of frontier AI systems. You can use this guidance to improve your own evaluation processes for AI models. This guidance is part of OpenAI's broader efforts to ensure safe and reliable AI.
Key takeaways
- OpenAI shares evaluation guidance for third-party assessors.
- Covers assessing capabilities, safeguards, and validity.
- Aims to improve quality of frontier AI evaluations.
OpenAI published guidance on trustworthy third-party evaluations for AI models, outlining methods to assess capabilities, safeguards, and validity. The playbook aims to help evaluators provide high-quality assessments of frontier AI systems. You can use this guidance to improve your own evaluation processes for AI models. This guidance is part of OpenAI's broader efforts to ensure safe and reliable AI.
Key takeaways
- OpenAI shares evaluation guidance for third-party assessors.
- Covers assessing capabilities, safeguards, and validity.
- Aims to improve quality of frontier AI evaluations.