Assess whether the system is high-risk under the EU AI Act (5828fb)

SITUATION Incident log of hallucinated citations in a legal memo arrived with a near-miss where an agent emailed a customer unreviewed for privacy counsel supporting AI inventory. That is a AI Governance Bias and Training Data decision on the system is high-risk in a university licensing an AI proctoring vendor.

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 incident log of hallucinated citations in a legal memo after a near-miss where an agent emailed a customer unreviewed.

HYPOTHESES TO TEST 1. The population in incident log of hallucinated citations in a legal memo is the one a near-miss where an agent emailed a customer unreviewed named, so Policy or governance breach follows for this Bias and Training Data file. 2. The population in incident log of hallucinated citations in a legal memo is adjacent only to a near-miss where an agent emailed a customer unreviewed; Model defect is the honest AI Governance call. 3. A university licensing an AI proctoring vendor already contained a near-miss where an agent emailed a customer unreviewed before incident log of hallucinated citations in a legal memo arrived; no new Bias and Training Data path. 4. Provenance on incident log of hallucinated citations in a legal memo after a near-miss where an agent emailed a customer unreviewed is broken; do not pick Policy or governance breach or Model defect yet.

ANALYSIS REQUIRED 1. Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in incident log of hallucinated citations in a legal memo. 2. Reproduce the incident row in incident log of hallucinated citations in a legal memo and say whether it ever touched production data. 3. Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in incident log of hallucinated citations in a legal memo. 4. For this AI Governance Bias and Training Data file, read incident log of hallucinated citations in a legal memo against a near-miss where an agent emailed a customer unreviewed and write the one fact that would move the system is high-risk for privacy counsel supporting AI inventory.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Bias and Training Data packet (incident log of hallucinated citations in a legal memo after a near-miss where an agent emailed a customer unreviewed). The follow-on Bias and Training Data action is what privacy counsel supporting AI inventory does next: implement the option, assign an owner, and log the missing fact.