Assess whether a shadow system must be decommissioned this quarter (67b703)

Situation

A shadow system must sits with model-risk officer because a drift alert the product owner dismissed as seasonal hit an insurer scoring claims with a third-party model. Evidence is training-data provenance questionnaire; write the AI Governance Inventory and Regulatory Fit option that extract can carry.

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 training-data provenance questionnaire after a drift alert the product owner dismissed as seasonal.

Hypotheses to test

• The population in training-data provenance questionnaire is the one a drift alert the product owner dismissed as seasonal named, so Policy or governance breach follows for this Inventory and Regulatory Fit file.
• The population in training-data provenance questionnaire is adjacent only to a drift alert the product owner dismissed as seasonal; Model defect is the honest AI Governance call.
• An insurer scoring claims with a third-party model already contained a drift alert the product owner dismissed as seasonal before training-data provenance questionnaire arrived; no new Inventory and Regulatory Fit path.
• Provenance on training-data provenance questionnaire after a drift alert the product owner dismissed as seasonal is broken; do not pick Policy or governance breach or Model defect yet.

Analysis required

• 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.
• Reproduce the incident row in training-data provenance questionnaire and say whether it ever touched production data.
• For this AI Governance Inventory and Regulatory Fit file, read training-data provenance questionnaire against a drift alert the product owner dismissed as seasonal and write the one fact that would move a shadow system must 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 (training-data provenance questionnaire after a drift alert the product owner dismissed as seasonal). Lead with the AI Governance option training-data provenance questionnaire can support after a drift alert the product owner dismissed as seasonal, then the two facts that force it, then the Monday action for model-risk officer in an insurer scoring claims with a third-party model.