NIST AI RMF: MAP 2.3
Provision nist.MAP-2.3 · AI Risk Management Framework 1.0, subcategories · subcategory
Scientific integrity and TEVV considerations are identified and documented, including those related to experimental design, data collection and selection (e.g., availability, representativeness, suitability), system trustworthiness, and construct validation.
The text is as taken from the source. In the source: https://airc.nist.gov/airmf-resources/playbook/map/#Map%202.3 (the subcategory, in the NIST AI RMF Playbook (anchor found in the page); linked 2026-11-10). The instrument: AI Risk Management Framework 1.0, subcategories, a United States government work; freely reusable; read 2026-11-10.
Who cites it
No indicator cites this provision yet, so no question reaches it. A company can still answer it directly (below).
A link is our assertion, not the instrument's. "Same" carries the evidence to the provision in full. "Part" marks the provision as partly evidenced: the fact is one piece of what it asks. "Negation" points the other way.
The evidence that reaches it
No published card reaches this provision yet. That is not a no.
Touched never means complies.
Answer it directly
A company can answer this line item itself, in its own file at /.well-known/fact-ray.json, with the node gamma-ray:provision/nist.MAP-2.3 (how). A company that already assesses itself against NIST AI RMF can reuse that work.