Assess whether a split between models is a review queue or noise (dde111)

Situation

A split between models sits with AI committee secretariat because a split so frequent that the queue is being auto-cleared hit a publisher needing provenance on generated copy. Evidence is post-deployment monitoring that only tracks uptime; write the AI Governance Layer Lifecycle and Accountability option that extract can carry.

Decision

AI committee secretariat in a publisher needing provenance on generated copy must choose A split between models is a review queue / Noise using post-deployment monitoring that only tracks uptime after a split so frequent that the queue is being auto-cleared.

Hypotheses to test

• A split so frequent that the queue is being auto-cleared is noise around an already-controlled Lifecycle and Accountability process in a publisher needing provenance on generated copy, given post-deployment monitoring that only tracks uptime.
• A split so frequent that the queue is being auto-cleared is the event in post-deployment monitoring that only tracks uptime that forces A split between models is a review queue for AI committee secretariat under AI Governance Layer.
• Post-deployment monitoring that only tracks uptime shows a one-file miss after a split so frequent that the queue is being auto-cleared, not a Lifecycle and Accountability program failure.
• Post-deployment monitoring that only tracks uptime cannot decide a split between models yet after a split so frequent that the queue is being auto-cleared; hold is the only AI Governance Layer close a publisher needing provenance on generated copy can defend.

Analysis required

• Confirm the inventory line still matches the running configuration in a publisher needing provenance on generated copy.
• Map the control-plane score in post-deployment monitoring that only tracks uptime to the policy gate AI committee secretariat 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 post-deployment monitoring that only tracks uptime against a split so frequent that the queue is being auto-cleared and write the one fact that would move a split between models for AI committee secretariat.

Recommendation

Choose A split between models is a review queue / Noise on this AI Governance Layer / Lifecycle and Accountability packet (post-deployment monitoring that only tracks uptime after a split so frequent that the queue is being auto-cleared). The follow-on Lifecycle and Accountability action is what AI committee secretariat does next: implement the option, assign an owner, and log the missing fact.