Assess whether explainability artifacts would survive an exam (bbe18f)

Situation

The Vendors and Agentic Systems desk packet is incomplete model inventory versus actual deployments after a DPA inquiry about training on European user data. Chief AI officer in a retailer using generative AI in customer service must name Policy or governance breach or Model defect for this AI Governance file. Chief AI officer in a retailer using generative AI in customer service has to name Policy or governance breach or Model defect for this AI Governance Vendors and Agentic Systems file.

Decision

Chief AI officer in a retailer using generative AI in customer service must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using incomplete model inventory versus actual deployments after a DPA inquiry about training on European user data.

Hypotheses to test

• A DPA inquiry about training on European user data is noise around an already-controlled Vendors and Agentic Systems process in a retailer using generative AI in customer service, given incomplete model inventory versus actual deployments.
• A DPA inquiry about training on European user data is the event in incomplete model inventory versus actual deployments that forces Policy or governance breach for chief AI officer under AI Governance.
• Incomplete model inventory versus actual deployments shows a one-file miss after a DPA inquiry about training on European user data, not a Vendors and Agentic Systems program failure.
• Incomplete model inventory versus actual deployments cannot decide explainability artifacts would survive yet after a DPA inquiry about training on European user data; hold is the only AI Governance close a retailer using generative AI in customer service can defend.

Analysis required

• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in incomplete model inventory versus actual deployments.
• Reproduce the incident row in incomplete model inventory versus actual deployments and say whether it ever touched production data.
• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in incomplete model inventory versus actual deployments.
• For this AI Governance Vendors and Agentic Systems file, read incomplete model inventory versus actual deployments against a DPA inquiry about training on European user data and write the one fact that would move explainability artifacts would survive for chief AI officer.