Risk Register – Details

Overview 

The Risk Details page provides a complete view of an individual AI-related risk. 

It enables users to review risk information, monitor mitigation progress, and manage relationships between risks, AI systems, and datasets. 

This page supports transparency, collaboration, and traceability throughout the risk governance workflow.   

Page Structure 

The Risk Details page is organized into key sections that provide a comprehensive view of the risk and its governance status. 

risk overview 

Displays core information about the risk, including: 

This section provides context on the nature of the risk and its potential impact on AI operations.   

mitigation 

Shows the current mitigation status and any responsibilities assigned to address the risk. 

This helps track progress of risk treatment activities and ensures accountability for mitigation actions.   

residual risk 

Displays the remaining level of risk after mitigation activities have been considered. 

Residual risk indicates the level of exposure that remains after controls or treatment actions are applied.   

Navigation Tabs 

details 

Displays primary attributes of the risk and its current status. 

This tab provides the main reference view for reviewing risk information.   

history 

Provides a record of changes made to the risk over time. 

This supports auditability and helps track how risk information has evolved.   

linked AI systems 

Displays AI systems associated with the risk. 

Users can link or unlink AI systems to maintain traceability between risks and AI usage contexts.   

linked datasets 

Displays datasets associated with the risk. 

Linking datasets helps identify which data assets may contribute to or be affected by the risk.   

comments 

Allows users to add or review internal comments related to the risk. 

Comments support collaboration and decision tracking between stakeholders.   

Additional Capabilities 

edit risk 

Users can modify editable fields including: 

This allows risk records to be updated as new information becomes available.   

traceability 

Linking AI systems and datasets helps identify where the risk originated and which assets may be impacted. 

This supports governance oversight and accountability across AI operations.   

Notes