Assess whether training data has a lawful basis and documented lineage

SITUATION The working file is explainability pack for a denied-credit decision after a customer complaint that a chatbot invented a refund policy. Vendor-diligence reviewer for AI tools in a bank preparing for a model-risk exam has to name Policy or governance breach or Model defect for this AI Governance Bias and Training Data file.

DECISION Vendor-diligence reviewer for AI tools in a bank preparing for a model-risk exam must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using explainability pack for a denied-credit decision after a customer complaint that a chatbot invented a refund policy.

HYPOTHESES TO TEST 1. The population in explainability pack for a denied-credit decision is the one a customer complaint that a chatbot invented a refund policy named, so Policy or governance breach follows for this Bias and Training Data file. 2. The population in explainability pack for a denied-credit decision is adjacent only to a customer complaint that a chatbot invented a refund policy; Model defect is the honest AI Governance call. 3. A bank preparing for a model-risk exam already contained a customer complaint that a chatbot invented a refund policy before explainability pack for a denied-credit decision arrived; no new Bias and Training Data path. 4. Provenance on explainability pack for a denied-credit decision after a customer complaint that a chatbot invented a refund policy is broken; do not pick Policy or governance breach or Model defect yet.

ANALYSIS REQUIRED 1. Verify data provenance and the human-oversight gate vendor-diligence reviewer for AI tools can actually point to. 2. Walk the model input/output path recorded in explainability pack for a denied-credit decision and mark each hop approved, shadow, or unlogged. 3. Verify data provenance and the human-oversight gate vendor-diligence reviewer for AI tools can actually point to. 4. For this AI Governance Bias and Training Data file, read explainability pack for a denied-credit decision against a customer complaint that a chatbot invented a refund policy and write the one fact that would move training data has a for vendor-diligence reviewer for AI tools.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Bias and Training Data packet (explainability pack for a denied-credit decision after a customer complaint that a chatbot invented a refund policy). Lead with the AI Governance option explainability pack for a denied-credit decision can support after a customer complaint that a chatbot invented a refund policy, then the two facts that force it, then the Monday action for vendor-diligence reviewer for AI tools in a bank preparing for a model-risk exam.