Assess whether the system is high-risk under the EU AI Act (5c4369)

SITUATION EU AI Act implementation manager is responsible for the system is high-risk in an insurer scoring claims, using a third-party model with hiring-tool adverse-impact tables as the only working extract. A drift alert the product owner dismissed as seasonal is what reset the timeline for this AI Governance Policy and Oversight file.

DECISION EU AI Act implementation manager in an insurer scoring claims with a third-party model must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using hiring-tool adverse-impact tables after a drift alert the product owner dismissed as seasonal.

HYPOTHESES TO TEST 1. A drift alert the product owner dismissed as seasonal is noise around an already-controlled Policy and Oversight process in an insurer scoring claims with a third-party model, given hiring-tool adverse-impact tables. 2. A drift alert the product owner dismissed as seasonal is the event in hiring-tool adverse-impact tables that forces Policy or governance breach for EU AI Act implementation manager under AI Governance. 3. Hiring-tool adverse-impact tables shows a one-file miss after a drift alert the product owner dismissed as seasonal, not a Policy and Oversight program failure. 4. Hiring-tool adverse-impact tables cannot decide the system is high-risk yet after a drift alert the product owner dismissed as seasonal; hold is the only AI Governance close an insurer scoring claims with a third-party model can defend.

ANALYSIS REQUIRED 1. Reproduce the incident row in hiring-tool adverse-impact tables 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 hiring-tool adverse-impact tables. 3. Reproduce the incident row in hiring-tool adverse-impact tables and say whether it ever touched production data. 4. For this AI Governance Policy and Oversight file, read hiring-tool adverse-impact tables against a drift alert the product owner dismissed as seasonal and write the one fact that would move the system is high-risk for EU AI Act implementation manager.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Policy and Oversight packet (hiring-tool adverse-impact tables after a drift alert the product owner dismissed as seasonal). The follow-on Policy and Oversight action is what EU AI Act implementation manager 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 hiring-tool adverse-impact tables, then the action for EU AI Act implementation manager - Hypothesis scorecard against hiring-tool adverse-impact tables: supported / rejected / untestable - Missing page in hiring-tool adverse-impact tables after a drift alert the product owner dismissed as seasonal, if any - Regulatory or exam hook Policy and Oversight would cite