Assess whether the system is high-risk under the EU AI Act (e2db71)

SITUATION A drift alert the product owner dismissed as seasonal put incomplete model inventory versus actual deployments in front of HR analytics governance lead in a bank preparing for a model-risk exam. This AI Governance / Policy and Oversight decision is the system is high-risk from incomplete model inventory versus actual deployments, and the live options are Policy or governance breach, Model defect, Dual failure.

DECISION HR analytics governance lead in a bank preparing for a model-risk exam must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using incomplete model inventory versus actual deployments after a drift alert the product owner dismissed as seasonal.

HYPOTHESES TO TEST 1. HR analytics governance lead can defend Policy or governance breach from incomplete model inventory versus actual deployments after a drift alert the product owner dismissed as seasonal in a AI Governance challenge. 2. HR analytics governance lead cannot defend Policy or governance breach from incomplete model inventory versus actual deployments; Model defect is what the extract actually supports after a drift alert the product owner dismissed as seasonal. 3. A drift alert the product owner dismissed as seasonal never reached the population in incomplete model inventory versus actual deployments — reopen intake, do not close the system is high-risk. 4. Two facts in incomplete model inventory versus actual deployments after a drift alert the product owner dismissed as seasonal conflict for HR analytics governance lead; hold this Policy and Oversight file.

ANALYSIS REQUIRED 1. Map the approved-use case to the system the system is high-risk would bind. 2. Check intended purpose and inventory status against EU AI Act / exam-readiness language after a drift alert the product owner dismissed as seasonal. 3. Map the approved-use case to the system the system is high-risk would bind. 4. For this AI Governance Policy and Oversight file, read incomplete model inventory versus actual deployments against a drift alert the product owner dismissed as seasonal 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 / Policy and Oversight packet (incomplete model inventory versus actual deployments after a drift alert the product owner dismissed as seasonal). The follow-on Policy and Oversight 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 - Regulatory or exam hook Policy and Oversight would cite - Policy and Oversight finding in incomplete model inventory versus actual deployments that a second reviewer can re-perform