Assess whether the system is high-risk under the EU AI Act (178efb)

SITUATION In a university licensing an AI proctoring vendor, explainability pack for a denied-credit decision is the evidence after a denied applicant requesting the principal reasons. Model-risk officer has to pick Policy or governance breach or Model defect for this AI Governance Policy and Oversight close using explainability pack for a denied-credit decision.

DECISION Model-risk officer in a university licensing an AI proctoring vendor must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using explainability pack for a denied-credit decision after a denied applicant requesting the principal reasons.

HYPOTHESES TO TEST 1. Authorize Policy or governance breach now; explainability pack for a denied-credit decision already has the discriminator after a denied applicant requesting the principal reasons. 2. Keep Model defect in force until explainability pack for a denied-credit decision is completed after a denied applicant requesting the principal reasons for model-risk officer. 3. Treat explainability pack for a denied-credit decision as Dual failure because both readings appear after a denied applicant requesting the principal reasons. 4. Refuse a AI Governance close: model-risk officer does not have the decision the system is high-risk turns on in explainability pack for a denied-credit decision.

ANALYSIS REQUIRED 1. Reproduce the incident row in explainability pack for a denied-credit decision and say whether it ever touched production data. 2. Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in explainability pack for a denied-credit decision. 3. Reproduce the incident row in explainability pack for a denied-credit decision and say whether it ever touched production data. 4. For this AI Governance Policy and Oversight file, read explainability pack for a denied-credit decision against a denied applicant requesting the principal reasons and write the one fact that would move the system is high-risk for model-risk officer.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Policy and Oversight packet (explainability pack for a denied-credit decision after a denied applicant requesting the principal reasons). If explainability pack for a denied-credit decision cannot force a AI Governance label under Policy and Oversight, stop. If explainability pack for a denied-credit decision after a denied applicant requesting the principal reasons cannot support Policy or governance breach versus Model defect on this AI Governance Policy and Oversight close, model-risk officer must leave the classification unresolved and name the missing control or provenance fact.