Assess whether the system is high-risk under the EU AI Act (9b7e9f)

SITUATION A pharma company using LLMs on trial documents cannot treat a drift alert the product owner dismissed as seasonal as incidental context on training-data provenance questionnaire. Privacy counsel supporting AI inventory must close the system is high-risk from that extract under AI Governance / Policy and Oversight.

DECISION Privacy counsel supporting AI inventory in a pharma company using LLMs on trial documents must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using training-data provenance questionnaire after a drift alert the product owner dismissed as seasonal.

HYPOTHESES TO TEST 1. Privacy counsel supporting AI inventory can defend Policy or governance breach from training-data provenance questionnaire after a drift alert the product owner dismissed as seasonal in a AI Governance challenge. 2. Privacy counsel supporting AI inventory cannot defend Policy or governance breach from training-data provenance questionnaire; Model defect is what the extract actually supports after a drift alert the product owner dismissed as seasonal. 3. A drift alert the product owner dismissed as seasonal never reached the population in training-data provenance questionnaire — reopen intake, do not close the system is high-risk. 4. Two facts in training-data provenance questionnaire after a drift alert the product owner dismissed as seasonal conflict for privacy counsel supporting AI inventory; hold this Policy and Oversight file.

ANALYSIS REQUIRED 1. Verify data provenance and the human-oversight gate privacy counsel supporting AI inventory can actually point to. 2. Walk the model input/output path recorded in training-data provenance questionnaire and mark each hop approved, shadow, or unlogged. 3. Verify data provenance and the human-oversight gate privacy counsel supporting AI inventory can actually point to. 4. For this AI Governance Policy and Oversight file, read training-data provenance questionnaire against a drift alert the product owner dismissed as seasonal 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 / Policy and Oversight packet (training-data provenance questionnaire after a drift alert the product owner dismissed as seasonal). The follow-on Policy and Oversight action is what privacy counsel supporting AI inventory does next: implement the option, assign an owner, and log the missing 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 privacy counsel supporting AI inventory - Hypothesis scorecard against training-data provenance questionnaire: supported / rejected / untestable - Regulatory or exam hook Policy and Oversight would cite - Policy and Oversight finding in training-data provenance questionnaire that a second reviewer can re-perform