Assess whether the system is high-risk under the EU AI Act (9850fb)

SITUATION The working file is incomplete model inventory versus actual deployments after an internal audit finding that human review logs are empty. HR analytics governance lead in a retailer using generative AI in customer service has to name Policy or governance breach or Model defect for this AI Governance Bias and Training Data file.

DECISION HR analytics governance lead in a retailer using generative AI in customer service must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using incomplete model inventory versus actual deployments after an internal audit finding that human review logs are empty.

HYPOTHESES TO TEST 1. Authorize Policy or governance breach now; incomplete model inventory versus actual deployments already has the discriminator after an internal audit finding that human review logs are empty. 2. Keep Model defect in force until incomplete model inventory versus actual deployments is completed after an internal audit finding that human review logs are empty for HR analytics governance lead. 3. Treat incomplete model inventory versus actual deployments as Dual failure because both readings appear after an internal audit finding that human review logs are empty. 4. Refuse a AI Governance close: HR analytics governance lead does not have the decision the system is high-risk turns on in incomplete model inventory versus actual deployments.

ANALYSIS REQUIRED 1. Check intended purpose and inventory status against EU AI Act / exam-readiness language after an internal audit finding that human review logs are empty. 2. Map the approved-use case to the system the system is high-risk would bind. 3. Check intended purpose and inventory status against EU AI Act / exam-readiness language after an internal audit finding that human review logs are empty. 4. For this AI Governance Bias and Training Data file, read incomplete model inventory versus actual deployments against an internal audit finding that human review logs are empty and write the one fact that would move the system is high-risk for HR analytics governance lead.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Bias and Training Data packet (incomplete model inventory versus actual deployments after an internal audit finding that human review logs are empty). The follow-on Bias and Training Data action is what HR analytics governance lead does next: implement the option, assign an owner, and log the missing fact.

COMMAND RETURNS - Bottom-line AI Governance option on the system is high-risk, then the evidence in incomplete model inventory versus actual deployments, then the action for HR analytics governance lead - Hypothesis scorecard against incomplete model inventory versus actual deployments: supported / rejected / untestable - What changes the system is high-risk if an internal audit finding that human review logs are empty is later withdrawn - Named option among Policy or governance breach, Model defect, Dual failure and the fact that kills the others