Assess whether training data has a lawful basis and documented lineage

SITUATION Generative-AI acceptable-use policy draft arrived with an examiner request for the current model inventory. Vendor-diligence reviewer for AI tools in a bank preparing for a model-risk exam still has an evidence gap on whether training data has a lawful basis and documented lineage.

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 generative-AI acceptable-use policy draft after an examiner request for the current model inventory.

HYPOTHESES TO TEST 1. Vendor-diligence reviewer for AI tools can defend Policy or governance breach from generative-AI acceptable-use policy draft after an examiner request for the current model inventory in a AI Governance challenge. 2. Vendor-diligence reviewer for AI tools cannot defend Policy or governance breach from generative-AI acceptable-use policy draft; Model defect is what the extract actually supports after an examiner request for the current model inventory. 3. An examiner request for the current model inventory never reached the population in generative-AI acceptable-use policy draft — reopen intake, do not close training data has a. 4. Two facts in generative-AI acceptable-use policy draft after an examiner request for the current model inventory conflict for vendor-diligence reviewer for AI tools; hold this Bias and Training Data file.

ANALYSIS REQUIRED 1. Map the approved-use case to the system training data has a would bind. 2. Check intended purpose and inventory status against EU AI Act / exam-readiness language after an examiner request for the current model inventory. 3. Map the approved-use case to the system training data has a would bind. 4. For this AI Governance Bias and Training Data file, read generative-AI acceptable-use policy draft against an examiner request for the current model inventory 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 (generative-AI acceptable-use policy draft after an examiner request for the current model inventory). Lead with the AI Governance option generative-AI acceptable-use policy draft can support after an examiner request for the current model inventory, 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.

COMMAND RETURNS - Bottom-line AI Governance option on training data has a, then the evidence in generative-AI acceptable-use policy draft, then the action for vendor-diligence reviewer for AI tools - Hypothesis scorecard against generative-AI acceptable-use policy draft: supported / rejected / untestable - What changes training data has a if an examiner request for the current model inventory is later withdrawn - Named option among Policy or governance breach, Model defect, Dual failure and the fact that kills the others