The Incident Management Dashboard in Clarity AI is used to record and manage incidents related to AI systems, data usage, or governance processes. It provides a structured register where incidents can be documented, reviewed, and tracked through their lifecycle.
Purpose
The Incident Management Dashboard ensures incidents are consistently recorded and maintained in a central location. It provides visibility into issues that require review, action, or resolution.
Incidents can be identified through monitoring activities, internal reviews, or external reporting channels.
What You Can Track
Each incident record includes key details required for documentation and tracking:
- Title and description of the incident
- Status showing the current stage of the incident
- Severity indicating the level of impact
- Detected timestamp capturing when the incident was identified
- Actions providing access to detailed incident information
Key Functions
- Report Incident allows users to create a new incident entry
- Search and filters help locate incidents based on defined criteria
- View Details opens the complete incident record including updates and related information
Examples of Incidents
Examples include:
- Exposure of sensitive data
- Incorrect or misleading AI outputs
- System interruptions affecting AI processes
- Behaviour outside defined governance requirements
- Use of unapproved or non-compliant datasets
Notes
- The dashboard maintains a record of incidents associated with AI systems and related processes
- Keeping incident records current ensures accurate tracking and review
- Incident records provide visibility across governance and risk management processes
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