NIST AI RMF: MEASURE 1.1
Provision nist.MEASURE-1.1 · AI Risk Management Framework 1.0, subcategories · subcategory
Approaches and metrics for measurement of AI risks enumerated during the Map function are selected for implementation starting with the most significant AI risks. The risks or trustworthiness characteristics that will not – or cannot – be measured are properly documented.
The text is as taken from the source. In the source: https://airc.nist.gov/airmf-resources/playbook/measure/#Measure%201.1 (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 | part: partly 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 | partly evidenced | "our own agent Hackian led on both F1 and recall under the same protocol" Source | π Moderate · S1·R5·A1 ×3 |
| Junie | I50 | partly 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-1.1 (how). A company that already assesses itself against NIST AI RMF can reuse that work.