The paper introduces RoMA and gRoMA as statistical tools that compute auditable upper bounds on the failure probability of any black-box AI system once regulators fix an acceptable risk threshold and input domain.
Statistical Run- time Verification for LLMs via Robustness Estimation
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Bounding the Black Box: A Statistical Certification Framework for AI Risk Regulation
The paper introduces RoMA and gRoMA as statistical tools that compute auditable upper bounds on the failure probability of any black-box AI system once regulators fix an acceptable risk threshold and input domain.