ISO 42001 AI Risk Register
Get Started with This SkillOverview
Draft and validate the AI risk register for ISO/IEC 42001:2023 with ownership, treatment, and residual risk.
Getting Started
Add your source materials to the project workspace, then activate the ISO 42001 AI Risk Register skill. The agent will guide you through the process step by step.
Example conversation
You: We need an AI risk register for our recommendation engine—bias, transparency, data, and operational risks—with owners, treatment, and residual risk.
Agent: I’ll draft the risk register using the skill’s requirements: risk identification (AI-specific), evaluation (likelihood/impact), treatment (accept/mitigate/transfer/avoid), control owner, residual risk, and status. I’ll link to our impact assessment and methodology where relevant. Then I’ll run risk_register_check to confirm all required elements are present.
Output excerpt
AI risk register excerpt
| Risk | Evaluation | Treatment | Owner | Residual risk | Status |
|---|---|---|---|---|---|
| Bias in recommendations affecting protected groups | M / H | Mitigate | Product lead | Medium (after bias testing and monitoring) | Mitigation in progress |
| Lack of transparency on AI-driven content | L / M | Mitigate | Product lead | Low | Implemented: in-app disclosure |
| Training data quality or provenance gap | M / H | Mitigate | Data lead | Medium | Data governance procedure in place |
| Model drift degrading performance | M / M | Mitigate | ML engineer | Low | Monitoring and retrain process defined |
Extension and validation
The skill includes risk_register_check, which validates the AI risk register draft for required elements: risk identification/description; risk evaluation; risk treatment; control/risk owner; residual risk; status or mitigation progress. Run it after drafting to ensure the register is complete for audit.