Assess whether the system is high-risk under the EU AI Act (a8ce08)

SITUATION The working file is training-data provenance questionnaire after a journalist asking if the hiring tool is biased. EU AI Act implementation manager in an insurer scoring claims with a third-party model has to name Policy or governance breach or Model defect 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 training-data provenance questionnaire after a journalist asking if the hiring tool is biased.

HYPOTHESES TO TEST 1. Authorize Policy or governance breach now; training-data provenance questionnaire already has the discriminator after a journalist asking if the hiring tool is biased. 2. Keep Model defect in force until training-data provenance questionnaire is completed after a journalist asking if the hiring tool is biased for EU AI Act implementation manager. 3. Treat training-data provenance questionnaire as Dual failure because both readings appear after a journalist asking if the hiring tool is biased. 4. Refuse a AI Governance close: EU AI Act implementation manager does not have the decision the system is high-risk turns on in training-data provenance questionnaire.

ANALYSIS REQUIRED 1. Check intended purpose and inventory status against EU AI Act / exam-readiness language after a journalist asking if the hiring tool is biased. 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 journalist asking if the hiring tool is biased. 4. For this AI Governance Policy and Oversight file, read training-data provenance questionnaire against a journalist asking if the hiring tool is biased 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 (training-data provenance questionnaire after a journalist asking if the hiring tool is biased). If training-data provenance questionnaire cannot force a AI Governance label under Policy and Oversight, stop. If training-data provenance questionnaire after a journalist asking if the hiring tool is biased cannot support Policy or governance breach versus Model defect on this AI Governance Policy and Oversight close, EU AI Act implementation manager must leave the classification unresolved and name the missing control or provenance fact.

COMMAND RETURNS - Bottom-line AI Governance option on the system is high-risk, then the evidence in training-data provenance questionnaire, then the action for EU AI Act implementation manager - Hypothesis scorecard against training-data provenance questionnaire: supported / rejected / untestable - Named option among Policy or governance breach, Model defect, Dual failure and the fact that kills the others - Owner and next date for EU AI Act implementation manager in an insurer scoring claims with a third-party model