MS-2.9 The AI model is explained, validated, and documented, and AI system output is interpreted within its context…
The AI model is explained, validated, and documented, and AI system output is interpreted within its context – as identified in the MAP function – and to inform responsible use and governance. Explanations are validated for fidelity to actual model behaviour and are pitched at the audience that must act on them, and the interpretation of output is bound to the mapped context.
Source: NIST AI RMF 1.0, MS-2.9. 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
none for this control
governing documentDocuments that govern the control
- The explanation method used and validation of its fidelity to model behaviour · Document repository
- Model documentation covering how the model reaches its outputs · Document repository
- Guidance on interpreting output within the deployment context · Policy repository / GRC workspace
- Identification of the audiences for explanation and what each needs · Document repository
First move
Common gaps auditors find
- Explanation method adopted with no check that it reflects the model
- Feature attributions produced for developers and never translated for the people affected
- Limitations of the explanation method not stated
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-2.8 Risks associated with transparency and accountability as identified in the MAP function are examined and… · MS-2.10 Privacy risk of the AI system as identified in the MAP function is examined and documented