OpenAI researchers want to predict how often AI models will fail before launch
THE DECODER / 6/17/2026
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Key Points
- OpenAI researchers are proposing a way to estimate how frequently a newly released AI model will make mistakes.
- The approach is intended to help address limitations in standard safety testing by adding a predictive element.
- By forecasting post-release failure rates, the method could improve pre-launch risk assessment for AI systems.
- The work focuses on identifying potential safety gaps before deployment rather than relying solely on after-the-fact evaluation.
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