AI Governance
AI system records and governance assessments.
Maintain an inventory of AI systems and their intended use, provider and data handling. Review rule-based risk classifications and system-specific governance assessments.
What you can do
Maintain the AI system register
Record system ownership, provider, model, lifecycle stage, intended use and data-handling details, then update the record as the system changes.
Review a suggested risk classification
Select the relevant classification markers and review the rule-based tier, obligations and recorded classification history.
Prepare impact and drift assessments
Build an impact-assessment draft from the system profile, check it for gaps, and compare entered baseline and current metric values against a threshold.
Who uses it
- AI system owners
- Risk and governance reviewers
Things to know
- Classifications and assessment drafts require human review; they do not establish legal compliance. Drift checks use supplied values and do not continuously monitor deployed models.