Chief AI officer must resolve whether training data has a lawful basis

Situation

Chief AI officer owns training data has a inside a bank preparing for a model-risk exam with shadow-IT chatbot connected to customer PII as the only packet. A vendor SOC report that excludes the actual model host region is what changed the clock for this AI Governance Inventory and Regulatory Fit file.

Decision

Chief AI officer 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 shadow-IT chatbot connected to customer PII after a vendor SOC report that excludes the actual model host region.

Hypotheses to test

• The population in shadow-IT chatbot connected to customer PII is the one a vendor SOC report that excludes the actual model host region named, so Policy or governance breach follows for this Inventory and Regulatory Fit file.
• The population in shadow-IT chatbot connected to customer PII is adjacent only to a vendor SOC report that excludes the actual model host region; Model defect is the honest AI Governance call.
• A bank preparing for a model-risk exam already contained a vendor SOC report that excludes the actual model host region before shadow-IT chatbot connected to customer PII arrived; no new Inventory and Regulatory Fit path.
• Provenance on shadow-IT chatbot connected to customer PII after a vendor SOC report that excludes the actual model host region is broken; do not pick Policy or governance breach or Model defect yet.

Analysis required

• Reproduce the incident row in shadow-IT chatbot connected to customer PII and say whether it ever touched production data.
• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in shadow-IT chatbot connected to customer PII.
• Reproduce the incident row in shadow-IT chatbot connected to customer PII and say whether it ever touched production data.
• For this AI Governance Inventory and Regulatory Fit file, read shadow-IT chatbot connected to customer PII against a vendor SOC report that excludes the actual model host region and write the one fact that would move training data has a for chief AI officer.

Recommendation

Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Inventory and Regulatory Fit packet (shadow-IT chatbot connected to customer PII after a vendor SOC report that excludes the actual model host region). The follow-on Inventory and Regulatory Fit action is what chief AI officer does next: implement the option, assign an owner, and log the missing fact.

Command returns

• Bottom-line AI Governance option on training data has a, then the evidence in shadow-IT chatbot connected to customer PII, then the action for chief AI officer
• Hypothesis scorecard against shadow-IT chatbot connected to customer PII: supported / rejected / untestable
• Regulatory or exam hook Inventory and Regulatory Fit would cite
• Inventory and Regulatory Fit finding in shadow-IT chatbot connected to customer PII that a second reviewer can re-perform