The Add Risk interface allows users to manually log a new AI-related risk into the system. This is used to capture issues that may not arise directly from assessments but still require formal tracking and governance oversight.
Purpose
Use this form to document a specific risk tied to an AI system or dataset. Adding risks manually ensures your organization maintains a comprehensive record of known or anticipated concerns that may affect AI reliability, compliance, or safety.
Fields and Guidance
Risk Title – Enter a clear, concise title for the risk.
Risk Description – Provide a detailed explanation of the nature of the risk, including any context or known triggers.
Affected Stakeholders – List the impacted parties, separated by commas (e.g., Customers, Employees, Partners).
Mitigation Plan – Describe the plan to reduce or eliminate the risk, including next steps or controls to be implemented.
Residual Risk Owner (Optional) – Assign the individual or role responsible for monitoring residual risk.
Due Date (Optional) – Enter the target date for addressing or reassessing the risk.
Risk Attributes
Risk Type – Select from predefined types (e.g., Model Bias, Data Privacy, Model Drift).
Likelihood – Choose how likely the risk is to occur (e.g., Rare, Possible, Likely).
Impact – Select the severity of the risk's potential effect (e.g., Low, Medium, High).
Risk Source – Indicates how the risk was identified (e.g., Manual Entry, Assessment).
Mitigation Status – Track progress on mitigation efforts (e.g., Not Started, In Progress, Complete).
Residual Risk Level – Indicate the remaining level of risk after mitigation (e.g., Low, Medium, High).
Notes
Once submitted, the risk will appear in the AI Risk Register Dashboard and can be accessed for review or updates through View Actions.
Risks created through this form can be linked to specific AI systems or datasets for full traceability.
Maintaining well-documented risk records helps meet governance, audit, and compliance expectations.