EvidenceSheet

GV-4.3 Organizational practices are in place to enable AI testing, identification of incidents, and information sharing

Organizational practices are in place to enable AI testing, identification of incidents, and information sharing. Testing and incident identification are enabled by practice and resourcing, and information about failures

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

system holds itEvidence a system already holds

none for this control

periodic reviewEvidence produced at each review

  • Records of information shared internally or externally about identified issues · Document repository

governing documentDocuments that govern the control

  • In-house testing policy covering the failure modes AI introduces · Policy repository / GRC workspace
  • The incident identification and recording mechanism for AI systems · Document repository
  • Evidence of resourcing for testing independent of the delivery schedule · Document repository

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-4.2 Organizational teams document the risks and potential impacts of the AI technology they design, develop, deploy, evaluate and use, and communicate about the impacts more broadly · GV-5.1 Organizational policies and practices are in place to collect, consider, prioritize, and integrate feedback from those external to the team that developed or deployed the AI system regarding the potential individual and societal impacts related to AI risks