Assess whether the system is high-risk under the EU AI Act from shadow-IT

Situation

A city using a hiring-screen algorithm cannot treat an internal audit finding that human review logs are empty as color commentary on shadow-IT chatbot connected to customer PII. HR analytics governance lead must close the system is high-risk from that extract under AI Governance / Inventory and Regulatory Fit.

Decision

HR analytics governance lead in a city using a hiring-screen algorithm 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 internal audit finding that human review logs are empty.

Hypotheses to test

• An internal audit finding that human review logs are empty is noise around an already-controlled Inventory and Regulatory Fit process in a city using a hiring-screen algorithm, given shadow-IT chatbot connected to customer PII.
• An internal audit finding that human review logs are empty is the event in shadow-IT chatbot connected to customer PII that forces Policy or governance breach for HR analytics governance lead under AI Governance.
• Shadow-IT chatbot connected to customer PII shows a one-file miss after an internal audit finding that human review logs are empty, not a Inventory and Regulatory Fit program failure.
• Shadow-IT chatbot connected to customer PII cannot decide the system is high-risk yet after an internal audit finding that human review logs are empty; hold is the only AI Governance close a city using a hiring-screen algorithm can defend.

Analysis required

• Verify data provenance and the human-oversight gate HR analytics governance lead can actually point to.
• Walk the model input/output path recorded in shadow-IT chatbot connected to customer PII and mark each hop approved, shadow, or unlogged.
• Verify data provenance and the human-oversight gate HR analytics governance lead can actually point to.
• For this AI Governance Inventory and Regulatory Fit file, read shadow-IT chatbot connected to customer PII against an internal audit finding that human review logs are empty and write the one fact that would move the system is high-risk for HR analytics governance lead.

Recommendation

Start from the open question on shadow-IT chatbot connected to customer PII: An internal audit finding that human review logs are empty is noise around an already-controlled Inventory and Regulatory Fit process in a city using a hiring-s Then read shadow-IT chatbot connected to customer PII after an internal audit finding that human review logs are empty. HR analytics governance lead takes Policy or governance breach only if that extract answers it for this AI Governance Inventory and Regulatory Fit case in a city using a hiring-screen algorithm; otherwise stay on Model defect.