MS-2.8 Risks associated with transparency and accountability as identified in the MAP function are examined and…
Risks associated with transparency and accountability – as identified in the MAP function – are examined and documented. The examination is of transparency and accountability as risks: what information asymmetry remains between the organisation and those affected, and who can be held to account for an outcome.
Source: NIST AI RMF 1.0, MS-2.8. 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
- Assessment of residual information asymmetry with operators and affected communities · Document repository
governing documentDocuments that govern the control
- Examination of what information about the system is and is not disclosed, and to whom · Document repository
- Identification of the accountable party for system outcomes · Document repository
- Documentation traced to the transparency risks mapping identified · Document repository
First move
Common gaps auditors find
- Transparency treated as equivalent to publishing model documentation
- Accountability assigned to the system rather than to a person or function
- Disclosure assessed for regulators only, not for affected individuals
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-2.7 AI system security and resilience as identified in the MAP function are evaluated and documented · MS-2.9 The AI model is explained, validated, and documented, and AI system output is interpreted within its context…