Assess whether explainability artifacts would survive an exam (41fe05)

Situation

Policy and Oversight work in a manufacturer piloting shop-floor copilot tools now turns on explainability artifacts would survive because a board deck that called the system 'fully explainable' put training-data provenance questionnaire in play. Vendor-diligence reviewer for AI tools should say what training-data provenance questionnaire proves.

Decision

Vendor-diligence reviewer for AI tools in a manufacturer piloting shop-floor copilot tools must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using training-data provenance questionnaire after a board deck that called the system 'fully explainable'.

Hypotheses to test

• Vendor-diligence reviewer for AI tools can defend Policy or governance breach from training-data provenance questionnaire after a board deck that called the system 'fully explainable' in a AI Governance challenge.
• Vendor-diligence reviewer for AI tools cannot defend Policy or governance breach from training-data provenance questionnaire; Model defect is what the extract actually supports after a board deck that called the system 'fully explainable'.
• A board deck that called the system 'fully explainable' never reached the population in training-data provenance questionnaire — reopen intake, do not close explainability artifacts would survive.
• Two facts in training-data provenance questionnaire after a board deck that called the system 'fully explainable' conflict for vendor-diligence reviewer for AI tools; hold this Policy and Oversight file.

Analysis required

• Verify data provenance and the human-oversight gate vendor-diligence reviewer for AI tools can actually point to.
• Walk the model input/output path recorded in training-data provenance questionnaire and mark each hop approved, shadow, or unlogged.
• Verify data provenance and the human-oversight gate vendor-diligence reviewer for AI tools can actually point to.
• For this AI Governance Policy and Oversight file, read training-data provenance questionnaire against a board deck that called the system 'fully explainable' and write the one fact that would move explainability artifacts would survive 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 / Policy and Oversight packet (training-data provenance questionnaire after a board deck that called the system 'fully explainable'). If training-data provenance questionnaire cannot force a AI Governance label under Policy and Oversight, stop. If training-data provenance questionnaire after a board deck that called the system 'fully explainable' cannot support Policy or governance breach versus Model defect on this AI Governance Policy and Oversight close, vendor-diligence reviewer for AI tools must leave the classification unresolved and name the missing control or provenance fact.