MP-3.4 Processes for operator and practitioner proficiency with AI system performance and trustworthiness, and…
Processes for operator and practitioner proficiency with AI system performance and trustworthiness – and relevant technical standards and certifications – are defined, assessed and documented. Operator proficiency is defined as a requirement, assessed rather than assumed, and recorded, because the human-AI configuration only works if the human can do the job assigned.
Source: NIST AI RMF 1.0, MP-3.4. 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 records showing proficiency was tested, not assumed · Document repository
governing documentDocuments that govern the control
- Defined proficiency requirements for operators and practitioners of the system · Document repository
- Relevant technical standards or certifications identified for the role · Policy repository / GRC workspace
- Refresh arrangements when the system or its performance changes · Document repository
First move
Common gaps auditors find
- Proficiency assumed from job title
- Training delivered but proficiency never assessed
- No refresh after a model update changed system behaviour
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.
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