Walk Failure Modes Into Test Cases
Convert AI failure modes into prioritized benchmark cases using FMEA logic.
A claims assistant passed 92% of routine cases. Then it approved a duplicate reimbursement after missing a subtle date mismatch. The benchmark had never named duplicate approval as a failure mode. FMEA converts risk into benchmark design. Name the failure, score its effect, ask how detectable it is, then build cases that force the model to prove it handles that risk. Failure Effect Priority Case Try Name the failure mode Which failure mode should the benchmark explicitly test? Name the effect What effect should determine severity? Prioritize the slice How should this failure affect the benchmark? Build the test case…
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