NIST AI RMF: MEASURE 2.3
Provision nist.MEASURE-2.3 · AI Risk Management Framework 1.0, subcategories · subcategory
AI system performance or assurance criteria are measured qualitatively or quantitatively and demonstrated for conditions similar to deployment setting(s). Measures are documented.
The text is as taken from the source. In the source: https://airc.nist.gov/airmf-resources/playbook/measure/#Measure%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
| Indicator | The fact it asks for | Kind of link | The assertion |
|---|---|---|---|
I50 | Test or evaluation results are published | 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 |
|---|---|---|---|---|
| Hackian | I50 | evidenced | "our own agent Hackian led on both F1 and recall under the same protocol" Source | π Moderate · S1·R5·A1 ×3 |
| Junie | I50 | evidenced | "with 61.6% resolved" 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-2.3 (how). A company that already assesses itself against NIST AI RMF can reuse that work.