Assess whether explainability artifacts would survive an exam (798f5c)

Situation

Training-data provenance questionnaire arrived with a customer complaint that a chatbot invented a refund policy for EU AI Act implementation manager. That is a AI Governance Policy and Oversight decision on explainability artifacts would survive in an insurer scoring claims with a third-party model.

Decision

EU AI Act implementation manager in an insurer scoring claims with a third-party model 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

• Authorize Policy or governance breach now; training-data provenance questionnaire already has the discriminator after a customer complaint that a chatbot invented a refund policy.
• Keep Model defect in force until training-data provenance questionnaire is completed after a customer complaint that a chatbot invented a refund policy for EU AI Act implementation manager.
• Treat training-data provenance questionnaire as Dual failure because both readings appear after a customer complaint that a chatbot invented a refund policy.
• Refuse a AI Governance close: EU AI Act implementation manager does not have the page explainability artifacts would survive turns on in training-data provenance questionnaire.

Analysis required

• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in training-data provenance questionnaire.
• Reproduce the incident row in training-data provenance questionnaire and say whether it ever touched production data.
• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in training-data provenance questionnaire.
• For this AI Governance Policy and Oversight 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 explainability artifacts would survive for EU AI Act implementation manager.

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 customer complaint that a chatbot invented a refund policy). The follow-on Policy and Oversight action is what EU AI Act implementation manager does next: implement the option, assign an owner, and log the missing fact.