GV-3.1 Decision-making related to mapping, measuring, and managing AI risks throughout the lifecycle is informed by a diverse team
Decision-makings related to mapping, measuring, and managing AI risks throughout the lifecycle is informed by a diverse team (e.g., diversity of demographics, disciplines, experience, expertise, and backgrounds). The peo
4
artefacts
0
held by a system
2
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 the disciplines represented on AI risk decision forums · Document repository
- Evidence that a dissenting or external view changed a decision · Document repository
governing documentDocuments that govern the control
- Documented consultation with external perspectives where internal expertise was thin · Document repository
- The organisational commitment on composition of AI risk teams · 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
- Diversity asserted from headcount data with no bearing on who decides
- External consultation held after the design was fixed, so it could not affect it
- Same three technical staff constitute every review
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-2.3 Executive leadership of the organization takes responsibility for decisions about risks associated with AI system development and deployment · GV-3.2 Policies and procedures are in place to define and differentiate roles and responsibilities for human-AI configurations and oversight of AI systems