Assess whether a generative-AI incident is a policy breach or a model defect

Situation

Explainability pack for a denied-credit decision arrived with an internal audit finding that human review logs are empty for model-risk officer. That is a AI Governance Policy and Oversight decision on a generative-AI incident is in a university licensing an AI proctoring vendor.

Decision

Model-risk officer in a university licensing an AI proctoring vendor must choose A generative-AI incident is a policy breach / A model defect using explainability pack for a denied-credit decision after an internal audit finding that human review logs are empty.

Hypotheses to test

• The population in explainability pack for a denied-credit decision is the one an internal audit finding that human review logs are empty named, so A generative-AI incident is a policy breach follows for this Policy and Oversight file.
• The population in explainability pack for a denied-credit decision is adjacent only to an internal audit finding that human review logs are empty; A model defect is the honest AI Governance call.
• A university licensing an AI proctoring vendor already contained an internal audit finding that human review logs are empty before explainability pack for a denied-credit decision arrived; no new Policy and Oversight path.
• Provenance on explainability pack for a denied-credit decision after an internal audit finding that human review logs are empty is broken; do not pick A generative-AI incident is a policy breach or A model defect yet.

Analysis required

• Check intended purpose and inventory status against EU AI Act / exam-readiness language after an internal audit finding that human review logs are empty.
• Map the approved-use case to the system a generative-AI incident is would bind.
• Check intended purpose and inventory status against EU AI Act / exam-readiness language after an internal audit finding that human review logs are empty.
• For this AI Governance Policy and Oversight file, read explainability pack for a denied-credit decision against an internal audit finding that human review logs are empty and write the one fact that would move a generative-AI incident is for model-risk officer.

Recommendation

Choose A generative-AI incident is a policy breach / A model defect on this AI Governance / Policy and Oversight packet (explainability pack for a denied-credit decision after an internal audit finding that human review logs are empty). The follow-on Policy and Oversight action is what model-risk officer does next: implement the option, assign an owner, and log the missing fact.

Command returns

• Bottom-line AI Governance option on a generative-AI incident is, then the evidence in explainability pack for a denied-credit decision, then the action for model-risk officer
• Hypothesis scorecard against explainability pack for a denied-credit decision: supported / rejected / untestable
• Owner and next date for model-risk officer in a university licensing an AI proctoring vendor
• What changes a generative-AI incident is if an internal audit finding that human review logs are empty is later withdrawn