How do I prove pre-deployment testing for a federal AI system?
M-25-21 requires high-impact AI to be tested in a realistic context before deployment and re-evaluated over time. Proof means a documented, repeatable evaluation: a fixed probe set, recorded metrics, the conditions of the run, and a way for internal or…
Answer.
M-25-21 requires high-impact AI to be tested in a realistic context before deployment and re-evaluated over time. Proof means a documented, repeatable evaluation: a fixed probe set, recorded metrics, the conditions of the run, and a way for internal or external compliance to reproduce the result. Planisphere generates exactly that artifact — a bit-exact, reproducible fielded-fleet run with a sha-256-pinned, Merkle-rooted record a third party can recompute — which evidences the testing practice without certifying that the system is safe or compliant overall.
Cite-anchor: OMB Memorandum M-25-21 (Accelerating Federal Use of AI) · Minimum risk-management practices for high-impact AI
The mark behind the answer.
Federal AI use · Chief AI Officer · high-impact minimum practices (issued 2025-04-03).
Prepare evidence for OMB M-25-21 review.
First evidence record within 21 days of access · re-runs in a single business day. Planisphere measures model behaviour and emits a reproducible, sha-pinned record — it does not certify, file, or give legal advice.