Model-risk officer must resolve whether training data has a lawful basis

Situation

After a drift alert the product owner dismissed as seasonal, shadow-IT chatbot connected to customer PII is what model-risk officer can touch in an insurer scoring claims with a third-party model. AI Governance will live with Policy or governance breach versus Model defect on this Inventory and Regulatory Fit file.

Decision

Model-risk officer 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 drift alert the product owner dismissed as seasonal.

Hypotheses to test

• Model-risk officer can defend Policy or governance breach from shadow-IT chatbot connected to customer PII after a drift alert the product owner dismissed as seasonal in a AI Governance challenge.
• Model-risk officer cannot defend Policy or governance breach from shadow-IT chatbot connected to customer PII; Model defect is what the extract actually supports after a drift alert the product owner dismissed as seasonal.
• A drift alert the product owner dismissed as seasonal never reached the population in shadow-IT chatbot connected to customer PII — reopen intake, do not close training data has a.
• Two facts in shadow-IT chatbot connected to customer PII after a drift alert the product owner dismissed as seasonal conflict for model-risk officer; hold this Inventory and Regulatory Fit file.

Analysis required

• Map the approved-use case to the system training data has a would bind.
• Check intended purpose and inventory status against EU AI Act / exam-readiness language after a drift alert the product owner dismissed as seasonal.
• Map the approved-use case to the system training data has a would bind.
• For this AI Governance Inventory and Regulatory Fit file, read shadow-IT chatbot connected to customer PII against a drift alert the product owner dismissed as seasonal and write the one fact that would move training data has a for model-risk 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 drift alert the product owner dismissed as seasonal). The follow-on Inventory and Regulatory Fit action is what model-risk officer does next: implement the option, assign an owner, and log the missing fact.