OpenAI research highlights risk of AI workflow errors in mandatory approvals

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OpenAI, in an October 6 publication, detailed research on AI agents performing legal, commercial, and procurement tasks. Their study of 11 specific tasks found that relying on average performance scores can hide critical failures, such as a missed mandatory approval. For instance, a workflow could be mostly correct but still bypass a required financial sign-off for purchases over a set amount. The research underscores the engineering need to separate performance metrics from mandatory checks to ensure safety. A proposed solution involves a separate verification system that explicitly fails workflows if any mandatory check is not conclusively passed.

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