NIST AI RMF: MEASURE 1.3
Provision nist.MEASURE-1.3 · AI Risk Management Framework 1.0, subcategories · subcategory
Internal experts who did not serve as front-line developers for the system and/or independent assessors are involved in regular assessments and updates. Domain experts, users, AI actors external to the team that developed or deployed the AI system, and affected communities are consulted in support of assessments as necessary per organizational risk tolerance.
The text is as taken from the source. In the source: https://airc.nist.gov/airmf-resources/playbook/measure/#Measure%201.3 (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
| Indicator | The fact it asks for | Kind of link | The assertion |
|---|---|---|---|
I52 | People who did not build it take part in assessing it | same: evidenced | Asserted in the mapping by gamma-ray@web-summit.dinis; the written basis is not recorded yet. |
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
| Card | Through | This provision is | The evidence | How far to trust it |
|---|---|---|---|---|
| AI Grant Consultant | I52 | evidenced | "Granter is being evaluated by three different Navy units" Source | π Moderate · S1·R5·A1 ×3 |
| Junie | I52 | evidenced | "an independent agent benchmark" Source | π Moderate · S1·R5·A1 ×3 |
| Replit Agent | I52 | evidenced | "through a public HackerOne bounty reward program" Source | π Moderate · S1·R5·A1 ×3 |
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.MEASURE-1.3 (how). A company that already assesses itself against NIST AI RMF can reuse that work.