AI Monitoring
Monitoring provides ongoing visibility into AI system operation and the effectiveness of governance arrangements.Purpose
Monitoring helps identify changes, emerging risks, incidents, control weaknesses, and other conditions that may require governance action.Monitoring areas
Depending on the system and context, monitoring may consider:- system performance
- risk indicators
- control performance
- incidents
- changes
- policy compliance
- operational conditions
- assurance findings
- emerging risks
Governance response
Monitoring results may trigger:- investigation
- risk reassessment
- control changes
- corrective action
- approval review
- escalation
- assurance activity
Source
The canonical procedure is maintained in:guidance/02-procedures/09-AIGO-AI-Monitoring-Procedure-v0.1.md
The machine-readable monitoring model is defined in:
schemas/06-monitoring/06-AIGO-Monitoring-Schema-v0.1.json