Assess whether training data has a lawful basis and documented lineage

SITUATION A retailer using generative AI in customer service has EU AI Act high-risk classification worksheet in hand following a customer complaint that a chatbot invented a refund policy. Board AI liaison must determine whether training data has a lawful basis and documented lineage for this AI Governance Policy and Oversight file.

DECISION Board AI liaison in a retailer using generative AI in customer service must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using EU AI Act high-risk classification worksheet after a customer complaint that a chatbot invented a refund policy.

HYPOTHESES TO TEST 1. Board AI liaison can defend Policy or governance breach from EU AI Act high-risk classification worksheet after a customer complaint that a chatbot invented a refund policy in a AI Governance challenge. 2. Board AI liaison cannot defend Policy or governance breach from EU AI Act high-risk classification worksheet; Model defect is what the extract actually supports after a customer complaint that a chatbot invented a refund policy. 3. A customer complaint that a chatbot invented a refund policy never reached the population in EU AI Act high-risk classification worksheet — reopen intake, do not close training data has a. 4. Two facts in EU AI Act high-risk classification worksheet after a customer complaint that a chatbot invented a refund policy conflict for board AI liaison; hold this Policy and Oversight file.

ANALYSIS REQUIRED 1. Verify data provenance and the human-oversight gate board AI liaison can actually point to. 2. Walk the model input/output path recorded in EU AI Act high-risk classification worksheet and mark each hop approved, shadow, or unlogged. 3. Verify data provenance and the human-oversight gate board AI liaison can actually point to. 4. For this AI Governance Policy and Oversight file, read EU AI Act high-risk classification worksheet against a customer complaint that a chatbot invented a refund policy and write the one fact that would move training data has a for board AI liaison.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Policy and Oversight packet (EU AI Act high-risk classification worksheet after a customer complaint that a chatbot invented a refund policy). The follow-on Policy and Oversight action is what board AI liaison does next: implement the option, assign an owner, and log the missing fact.

COMMAND RETURNS - Bottom-line AI Governance option on training data has a, then the evidence in EU AI Act high-risk classification worksheet, then the action for board AI liaison - Hypothesis scorecard against EU AI Act high-risk classification worksheet: supported / rejected / untestable - Named option among Policy or governance breach, Model defect, Dual failure and the fact that kills the others - Owner and next date for board AI liaison in a retailer using generative AI in customer service