Assess whether the vendor can be used in a regulated process (6f5500)

SITUATION Training-data provenance questionnaire arrived with a customer complaint that a chatbot invented a refund policy for HR analytics governance lead. That is a AI Governance Bias and Training Data decision on the vendor can be in a retailer using generative AI in customer service.

DECISION HR analytics governance lead 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 training-data provenance questionnaire after a customer complaint that a chatbot invented a refund policy.

HYPOTHESES TO TEST 1. HR analytics governance lead can defend Policy or governance breach from training-data provenance questionnaire after a customer complaint that a chatbot invented a refund policy in a AI Governance challenge. 2. HR analytics governance lead cannot defend Policy or governance breach from training-data provenance questionnaire; 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 training-data provenance questionnaire — reopen intake, do not close the vendor can be. 4. Two facts in training-data provenance questionnaire after a customer complaint that a chatbot invented a refund policy conflict for HR analytics governance lead; hold this Bias and Training Data file.

ANALYSIS REQUIRED 1. Map the approved-use case to the system the vendor can be would bind. 2. Check intended purpose and inventory status against EU AI Act / exam-readiness language after a customer complaint that a chatbot invented a refund policy. 3. Map the approved-use case to the system the vendor can be would bind. 4. For this AI Governance Bias and Training Data file, read training-data provenance questionnaire against a customer complaint that a chatbot invented a refund policy and write the one fact that would move the vendor can be for HR analytics governance lead.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Bias and Training Data packet (training-data provenance questionnaire after a customer complaint that a chatbot invented a refund policy). The follow-on Bias and Training Data action is what HR analytics governance lead does next: implement the option, assign an owner, and log the missing fact.

COMMAND RETURNS - Bottom-line AI Governance option on the vendor can be, then the evidence in training-data provenance questionnaire, then the action for HR analytics governance lead - Hypothesis scorecard against training-data provenance questionnaire: supported / rejected / untestable - Bias and Training Data finding in training-data provenance questionnaire that a second reviewer can re-perform - Missing page in training-data provenance questionnaire after a customer complaint that a chatbot invented a refund policy, if any