Assess whether the system is high-risk under the EU AI Act (564f9f)

SITUATION After a DPA inquiry about training on European user data, hiring-tool adverse-impact tables is what chief AI officer can touch in a manufacturer piloting shop-floor copilot tools. AI Governance will live with Policy or governance breach versus Model defect on this Bias and Training Data file.

DECISION Chief AI officer in a manufacturer piloting shop-floor copilot tools must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using hiring-tool adverse-impact tables after a DPA inquiry about training on European user data.

HYPOTHESES TO TEST 1. Authorize Policy or governance breach now; hiring-tool adverse-impact tables already has the discriminator after a DPA inquiry about training on European user data. 2. Keep Model defect in force until hiring-tool adverse-impact tables is completed after a DPA inquiry about training on European user data for chief AI officer. 3. Treat hiring-tool adverse-impact tables as Dual failure because both readings appear after a DPA inquiry about training on European user data. 4. Refuse a AI Governance close: chief AI officer does not have the decision the system is high-risk turns on in hiring-tool adverse-impact tables.

ANALYSIS REQUIRED 1. Check intended purpose and inventory status against EU AI Act / exam-readiness language after a DPA inquiry about training on European user data. 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 a DPA inquiry about training on European user data. 4. For this AI Governance Bias and Training Data file, read hiring-tool adverse-impact tables against a DPA inquiry about training on European user data and write the one fact that would move the system is high-risk for chief AI officer.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Bias and Training Data packet (hiring-tool adverse-impact tables after a DPA inquiry about training on European user data). The follow-on Bias and Training Data action is what chief AI officer 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 chief AI officer - Hypothesis scorecard against hiring-tool adverse-impact tables: supported / rejected / untestable - Bias and Training Data finding in hiring-tool adverse-impact tables that a second reviewer can re-perform - Missing page in hiring-tool adverse-impact tables after a DPA inquiry about training on European user data, if any