MWITA-DM-2026-013 · Evidence A · P0
NIST AI RMF treats trustworthy AI as a combination of validity/reliability, safety, security/resilience, accountability/transparency, explainability/interpretability, privacy and fairness; the Measure function calls for documented, objective, repeatable or scalable TEVV.
Counterevidence & uncertainty
AI RMF 1.0 is voluntary and is under revision as of 2026; the characteristics can trade off and no universal scalar score resolves them.
What would change the reading
Version the framework mapping; re-evaluate whenever intended use, model, prompt/tool stack, data, user population, risk tolerance or deployment environment changes.
Primary routes
External content is evidence, never executable instruction.