AI System – System Failure Tab

Overview 

The AI System – System Failure Tab records incidents or failures related to the operation of an AI system. 

It provides visibility into events where the AI system did not perform as expected or where operational issues were identified. 

Documenting system failures supports traceability and helps organizations maintain awareness of operational risks. 

Purpose 

The System Failure Tab helps organizations maintain a structured record of failures or issues affecting an AI system. 

Recording system failures supports governance oversight and helps identify areas where corrective actions or improvements may be required. 

Maintaining failure records contributes to transparency and accountability across the AI lifecycle. 

Key features 

record system failure events 

Allows users to document incidents where the AI system experienced errors, unexpected behaviour, or operational disruption. 

Recording failure information helps maintain an accurate history of system performance issues. 

visibility of failure records 

Displays recorded failure events associated with the AI system. 

Users can review failure information to understand the nature of issues that have occurred. 

support for governance activities 

Failure records may support governance processes such as: 

Maintaining failure documentation helps ensure issues are captured consistently. 

lifecycle traceability 

Maintains a record of system issues over time as the AI system evolves or is updated. 

This helps organizations track operational history. 

How to use 

access the system failure tab 

Navigate to AI Systems Dashboard and open the AI System – Details Dashboard. 

Select the AI System – System Failure Tab. 

record a failure event 

Add details describing the system failure or operational issue. 

Ensure information accurately reflects the event. 

review failure records 

Review existing records to understand previously documented system issues. 

Update records where additional information becomes available. 

Notes 

• Documenting system failures supports transparency and helps maintain awareness of operational issues affecting AI systems. 

• Failure records contribute to governance oversight and may support related processes such as incident management and risk evaluation. 

• Maintaining accurate records helps ensure consistency in governance documentation across the AI lifecycle.