Assess whether a split between models is a review queue or noise (504e90)

Situation

A customer discovering AI copy with no disclosure put content-attribution tags missing on customer-facing copy in front of content-attribution program lead in a firm whose vendor MSA is silent on training rights. This AI Governance Layer / Lifecycle and Accountability close is a split between models from content-attribution tags missing on customer-facing copy, and the live options are A split between models is a review queue, Noise.

Decision

Content-attribution program lead in a firm whose vendor MSA is silent on training rights must choose A split between models is a review queue / Noise using content-attribution tags missing on customer-facing copy after a customer discovering AI copy with no disclosure.

Hypotheses to test

• Content-attribution tags missing on customer-facing copy reads as A split between models is a review queue once a customer discovering AI copy with no disclosure is lined up to the same AI Governance Layer population.
• Content-attribution tags missing on customer-facing copy is closer to Noise after a customer discovering AI copy with no disclosure; A split between models is a review queue would over-claim this Lifecycle and Accountability extract.
• A dual reading is still live in content-attribution tags missing on customer-facing copy for content-attribution program lead in a firm whose vendor MSA is silent on training rights.
• Content-attribution tags missing on customer-facing copy is missing the fact content-attribution program lead needs after a customer discovering AI copy with no disclosure; stop this AI Governance Layer close.

Analysis required

• Name the override that would let a split between models proceed without a silent bypass.
• Test whether a customer discovering AI copy with no disclosure changed routing, logging, or human-in-the-loop on the live agent path.
• Score whether the agent action in content-attribution tags missing on customer-facing copy was in-policy, out-of-policy, or unlogged.
• For this AI Governance Layer Lifecycle and Accountability file, read content-attribution tags missing on customer-facing copy against a customer discovering AI copy with no disclosure and write the one fact that would move a split between models for content-attribution program lead.

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