GV-5.2 Mechanisms are established to enable AI actors to regularly incorporate adjudicated feedback from relevant AI…
Mechanisms are established to enable AI actors to regularly incorporate adjudicated feedback from relevant AI actors into system design and implementation. There is a mechanism that adjudicates feedback and routes the accepted items into design and implementation on a regular cycle.
Source: NIST AI RMF 1.0, GV-5.2. 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
- Change records showing accepted feedback implemented · Document repository
periodic reviewEvidence produced at each review
- The adjudication mechanism and who holds the decision on what is accepted · Document repository
- Records of feedback adjudicated, with accept or reject reasoning · Document repository
governing documentDocuments that govern the control
- The cadence at which adjudicated feedback enters design or implementation · Document repository
First move
Common gaps auditors find
- Feedback adjudicated informally, so rejections carry no reasoning
- Accepted items queued indefinitely with no implementation cycle
- Mechanism covers internal actors only and excludes deployers and end users
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 sheetGV-5.1 Organizational policies and practices are in place to collect, consider, prioritize, and integrate feedback… · GV-6.1 Policies and procedures are in place that address AI risks associated with third-party entities, including…