AI Governance Assurance
Assurance provides structured evaluation of whether AI governance arrangements are appropriate, implemented, and operating as intended.Purpose
Assurance helps organizations obtain confidence in governance effectiveness and identify areas requiring improvement.Assurance scope
Assurance may examine:- governance processes
- roles and accountability
- risk management
- controls
- evidence
- approvals
- monitoring
- incidents
- changes
- continual improvement
Independence and objectivity
The level of assurance independence should be appropriate to the organization’s governance model, risk profile, and assurance objectives.Outcomes
Assurance findings should be recorded and connected to responsible owners, remediation actions, risks, controls, and follow-up activities.Source
The canonical procedure is maintained in:guidance/02-procedures/10-AIGO-AI-Assurance-Procedure-v0.1.md
The machine-readable assurance model is defined in:
schemas/09-assurance/09-AIGO-Assurance-Schema-v0.1.json