Assess whether explainability artifacts would survive an exam (b49d13)

Situation

Vendors and Agentic Systems work in an insurer scoring claims with a third-party model now turns on explainability artifacts would survive because a new use case bolted onto a model approved for a narrower purpose put shadow-IT chatbot connected to customer PII in play. Vendors and Agentic Systems work in an insurer scoring claims with a third-party model now turns on explainability artifacts would survive because a new use case bolted onto a model approved for a narrower purpose put shadow-IT chatbot connected to customer PII in play; privacy counsel supporting AI inventory should say what shadow-IT chatbot connected to customer PII proves for AI Governance.

Decision

Privacy counsel supporting AI inventory 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 shadow-IT chatbot connected to customer PII after a new use case bolted onto a model approved for a narrower purpose.

Hypotheses to test

• A new use case bolted onto a model approved for a narrower purpose is noise around an already-controlled Vendors and Agentic Systems process in an insurer scoring claims with a third-party model, given shadow-IT chatbot connected to customer PII.
• A new use case bolted onto a model approved for a narrower purpose is the event in shadow-IT chatbot connected to customer PII that forces Policy or governance breach for privacy counsel supporting AI inventory under AI Governance.
• Shadow-IT chatbot connected to customer PII shows a one-file miss after a new use case bolted onto a model approved for a narrower purpose, not a Vendors and Agentic Systems program failure.
• Shadow-IT chatbot connected to customer PII cannot decide explainability artifacts would survive yet after a new use case bolted onto a model approved for a narrower purpose; hold is the only AI Governance close an insurer scoring claims with a third-party model can defend.

Analysis required

• Verify data provenance and the human-oversight gate privacy counsel supporting AI inventory can actually point to.
• Walk the model input/output path recorded in shadow-IT chatbot connected to customer PII and mark each hop approved, shadow, or unlogged.
• Verify data provenance and the human-oversight gate privacy counsel supporting AI inventory can actually point to.