Assess whether the system is high-risk under the EU AI Act (0c3c2f)

Situation

The system is high-risk sits with privacy counsel supporting AI inventory because a customer complaint that a chatbot invented a refund policy hit a university licensing an AI proctoring vendor. Evidence is post-deployment drift report the owner never signed; write the AI Governance Bias and Training Data option that extract can carry.

Decision

Privacy counsel supporting AI inventory in a university licensing an AI proctoring vendor must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using post-deployment drift report the owner never signed after a customer complaint that a chatbot invented a refund policy.

Hypotheses to test

• A customer complaint that a chatbot invented a refund policy is noise around an already-controlled Bias and Training Data process in a university licensing an AI proctoring vendor, given post-deployment drift report the owner never signed.
• A customer complaint that a chatbot invented a refund policy is the event in post-deployment drift report the owner never signed that forces Policy or governance breach for privacy counsel supporting AI inventory under AI Governance.
• Post-deployment drift report the owner never signed shows a one-file miss after a customer complaint that a chatbot invented a refund policy, not a Bias and Training Data program failure.
• Post-deployment drift report the owner never signed cannot decide the system is high-risk yet after a customer complaint that a chatbot invented a refund policy; hold is the only AI Governance close a university licensing an AI proctoring vendor can defend.

Analysis required

• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in post-deployment drift report the owner never signed.
• Reproduce the incident row in post-deployment drift report the owner never signed and say whether it ever touched production data.
• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in post-deployment drift report the owner never signed.
• For this AI Governance Bias and Training Data file, read post-deployment drift report the owner never signed against a customer complaint that a chatbot invented a refund policy and write the one fact that would move the system is high-risk for privacy counsel supporting AI inventory.