Assess whether explainability artifacts would survive an exam (d29cc9)

Situation

Generative-AI acceptable-use policy draft arrived with an internal audit finding that human review logs are empty for exam-readiness coordinator. That is a AI Governance Inventory and Regulatory Fit decision on explainability artifacts would survive in a pharma company using LLMs on trial documents.

Decision

Exam-readiness coordinator in a pharma company using LLMs on trial documents must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using generative-AI acceptable-use policy draft after an internal audit finding that human review logs are empty.

Hypotheses to test

• The population in generative-AI acceptable-use policy draft is the one an internal audit finding that human review logs are empty named, so Policy or governance breach follows for this Inventory and Regulatory Fit file.
• The population in generative-AI acceptable-use policy draft is adjacent only to an internal audit finding that human review logs are empty; Model defect is the honest AI Governance call.
• A pharma company using LLMs on trial documents already contained an internal audit finding that human review logs are empty before generative-AI acceptable-use policy draft arrived; no new Inventory and Regulatory Fit path.
• Provenance on generative-AI acceptable-use policy draft after an internal audit finding that human review logs are empty is broken; do not pick Policy or governance breach or Model defect yet.

Analysis required

• Reproduce the incident row in generative-AI acceptable-use policy draft and say whether it ever touched production data.
• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in generative-AI acceptable-use policy draft.
• Reproduce the incident row in generative-AI acceptable-use policy draft and say whether it ever touched production data.
• For this AI Governance Inventory and Regulatory Fit file, read generative-AI acceptable-use policy draft against an internal audit finding that human review logs are empty and write the one fact that would move explainability artifacts would survive for exam-readiness coordinator.

Recommendation

Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Inventory and Regulatory Fit packet (generative-AI acceptable-use policy draft after an internal audit finding that human review logs are empty). If generative-AI acceptable-use policy draft cannot force a AI Governance label under Inventory and Regulatory Fit, stop. Do not invent pages a pharma company using LLMs on trial documents does not have.