EvidenceSheet

MS-2.12 Environmental impact and sustainability of AI model training and management activities as identified in the…

Environmental impact and sustainability of AI model training and management activities – as identified in the MAP function – are assessed and documented. The environmental cost of training and operating the system is assessed on stated measures, energy, water and greenhouse gas emissions, rather than treated as out of scope.

Source: NIST AI RMF 1.0, MS-2.12. 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.

4
artefacts
0
held by a system
1
at each review
hard
to go live
Document repository
where the evidence lives
teal = a system already holds it · olive = produced at each review. To go live: easy when half or more of the artefacts are already held by a system, moderate from a quarter to a half, hard below a quarter.

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 energy consumption for training and inference · HR system / LMS

governing documentDocuments that govern the control

  • Water consumption and greenhouse gas emissions attributable to the system where applicable · Document repository
  • The measurement basis and any published metrics adopted · Policy repository / GRC workspace
  • Documentation of the assessment and its bearing on design decisions · Document repository

First move

No system holds this evidence for you: it is people and documents. Reminders and routing to the owner still save time. Put the document under version control with an owner and review date, and log each review as a record with reviewer and date.

Common gaps auditors find

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 sheet

MS-2.11 Fairness and bias as identified in the MAP function is evaluated and results are documented · MS-2.13 Effectiveness of the employed TEVV metrics and processes in the MEASURE function are evaluated and documented