NIST AI RMF · MEASURE

Measure

“Use quantitative, qualitative, and mixed-method tools to analyze, assess, benchmark, and monitor AI risks and impacts.”

AI RMF 1.0, Function: Measure

modeldeploymentmonitoring

Type

function

Parent

—

Sub-items

MEASURE 2
Trustworthiness characteristics
AI systems are evaluated for trustworthy characteristics: validity & reliability, safety, security & resilience, accountability & transparency, explainability & interpretability, privacy, and fairness with bias managed.

Cross-framework relationships

Lattice uses an explicit, four-type vocabulary and refuses ‘equivalent.’ Each relationship below carries a rationale and an editorial reviewer credit.

relates to

Algorithmic biasIEEE CertifAIEd · Algorithmic Bias
NIST MEASURE practices include bias measurement aligned with CertifAIEd's bias criterion; CertifAIEd adds certification-grade evidence requirements.
Reviewer: Editorial: A. Vega · Reviewed 2026-04-22

SourceU.S. National Institute of Standards and Technology· AI RMF 1.0, Function: Measure

Version: 1.0 + Generative AI Profile (NIST AI 600-1)Last reviewed: 2026-04-30

View canonical source

Measure

Sub-items

Cross-framework relationships

relates to

Command palette