EvidenceSheet

GV-2.2 The organization's personnel and partners receive AI risk management training to enable them to perform their duties and responsibilities consistent with related policies, procedures, and agreements

The organization’s personnel and partners receive AI risk management training to enable them to perform their duties and responsibilities consistent with related policies, procedures, and agreements. Training is role-spe

4
artefacts
0
held by a system
0
at each review
hard
to go live
Policy repository / GRC workspace
where the evidence lives
teal = a system already holds it · olive = produced at each review

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

  • Training curricula differentiated by AI role, with the content covered · Policy repository / GRC workspace
  • Completion records by individual and date, including partner personnel where in scope · Policy repository / GRC workspace
  • The link from a role definition to the training required for it · Policy repository / GRC workspace
  • Evidence of refresh when policies or applicable law changed · Policy repository / GRC workspace

First move

This control is evidenced by people and documents, not systems. Put the document under version control with an owner and review date, and log each review as a record with reviewer and date. Do not try to automate it.

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

GV-2.1 Roles and responsibilities and lines of communication related to mapping, measuring, and managing AI risks are documented and are clear to individuals and teams throughout the organization · GV-2.3 Executive leadership of the organization takes responsibility for decisions about risks associated with AI system development and deployment