Assess whether a split between models is a review queue or noise (db92c5)

Situation

A bank running three models on the same credit file cannot treat a customer discovering AI copy with no disclosure as color commentary on vendor MSA clauses on training, indemnity, and subprocessors. Model-deprecation manager must close a split between models from that extract under AI Governance Layer / Lifecycle and Accountability.

Decision

Model-deprecation manager in a bank running three models on the same credit file must choose A split between models is a review queue / Noise using vendor MSA clauses on training, indemnity, and subprocessors after a customer discovering AI copy with no disclosure.

Hypotheses to test

• Model-deprecation manager can defend A split between models is a review queue from vendor MSA clauses on training, indemnity, and subprocessors after a customer discovering AI copy with no disclosure in a AI Governance Layer challenge.
• Model-deprecation manager cannot defend A split between models is a review queue from vendor MSA clauses on training, indemnity, and subprocessors; Noise is what the extract actually supports after a customer discovering AI copy with no disclosure.
• A customer discovering AI copy with no disclosure never reached the population in vendor MSA clauses on training, indemnity, and subprocessors — reopen intake, do not close a split between models.
• Two facts in vendor MSA clauses on training, indemnity, and subprocessors after a customer discovering AI copy with no disclosure conflict for model-deprecation manager; hold this Lifecycle and Accountability file.

Analysis required

• Confirm the inventory line still matches the running configuration in a bank running three models on the same credit file.
• Map the control-plane score in vendor MSA clauses on training, indemnity, and subprocessors to the policy gate model-deprecation manager can enforce.
• Name the override that would let a split between models proceed without a silent bypass.
• For this AI Governance Layer Lifecycle and Accountability file, read vendor MSA clauses on training, indemnity, and subprocessors against a customer discovering AI copy with no disclosure and write the one fact that would move a split between models for model-deprecation manager.

Recommendation

Choose A split between models is a review queue / Noise on this AI Governance Layer / Lifecycle and Accountability packet (vendor MSA clauses on training, indemnity, and subprocessors after a customer discovering AI copy with no disclosure). The follow-on Lifecycle and Accountability action is what model-deprecation manager does next: implement the option, assign an owner, and log the missing fact.