MS-2.2 Evaluations involving human subjects meet applicable requirements including human subject protection and are…
Evaluations involving human subjects meet applicable requirements (including human subject protection) and are representative of the relevant population. Where evaluation involves human subjects or data captured from them, the applicable protection requirements are met and the subject population is representative of the deployment population.
Source: NIST AI RMF 1.0, MS-2.2. The statement above is our statement of the clause, read from the published text and cited so you can check it against the official text, not the instrument verbatim. Open NIST AI RMF 1.0 in the compliance library.
These are the artefacts auditors commonly ask for on this requirement, our guidance rather than text from the standard. Your assessor decides what is sufficient in your context, and asks for samples across the period when a report covers one.
system holds itEvidence a system already holds
none for this control
periodic reviewEvidence produced at each review
- Evidence the applicable human subject protection requirements were met, including any approval obtained · Document repository
- Analysis of representativeness against the relevant population · Document repository
- Consent and data handling records for subject data used in evaluation · Data governance / DLP tooling
governing documentDocuments that govern the control
- Identification of evaluations involving human subjects or human subject data · Document repository
First move
Common gaps auditors find
- Human subject involvement not recognised because the data was already held
- Convenience sample used with no representativeness analysis
- Protection requirements treated as applying only to funded research
Do this for your whole sheet
Paste the rows you run your controls from and get this mapping for every control at once, with the periodic-review ones flagged and a first move per row. No account for the first run.
Build my evidence sheetMS-2.1 Test sets, metrics, and details about the tools used during test, evaluation, validation, and verification… · MS-2.3 AI system performance or assurance criteria are measured qualitatively or quantitatively and demonstrated for…