Assess whether the system is high-risk under the EU AI Act after an examiner

SITUATION An insurer scoring claims with a third-party model cannot treat an examiner request for the current model inventory as incidental context on shadow-IT chatbot connected to customer PII. Exam-readiness coordinator must close the system is high-risk from that extract under AI Governance / Bias and Training Data.

DECISION Exam-readiness coordinator 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 shadow-IT chatbot connected to customer PII after an examiner request for the current model inventory.

HYPOTHESES TO TEST 1. Shadow-IT chatbot connected to customer PII reads as Policy or governance breach once an examiner request for the current model inventory is lined up to the same AI Governance population. 2. Shadow-IT chatbot connected to customer PII is closer to Model defect after an examiner request for the current model inventory; Policy or governance breach would over-claim this Bias and Training Data extract. 3. Dual failure is still live in shadow-IT chatbot connected to customer PII for exam-readiness coordinator in an insurer scoring claims with a third-party model. 4. Shadow-IT chatbot connected to customer PII is missing the fact exam-readiness coordinator needs after an examiner request for the current model inventory; stop this AI Governance close.

ANALYSIS REQUIRED 1. Check intended purpose and inventory status against EU AI Act / exam-readiness language after an examiner request for the current model inventory. 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 examiner request for the current model inventory. 4. For this AI Governance Bias and Training Data file, read shadow-IT chatbot connected to customer PII against an examiner request for the current model inventory and write the one fact that would move the system is high-risk for exam-readiness coordinator.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Bias and Training Data packet (shadow-IT chatbot connected to customer PII after an examiner request for the current model inventory). If shadow-IT chatbot connected to customer PII cannot force a AI Governance label under Bias and Training Data, stop. If shadow-IT chatbot connected to customer PII after an examiner request for the current model inventory cannot support Policy or governance breach versus Model defect on this AI Governance Bias and Training Data close, exam-readiness coordinator must leave the classification unresolved and name the missing control or provenance fact.