AI System Retirement
Retirement governs the controlled removal of an AI system from active use.Purpose
Retirement ensures that an AI system is decommissioned in a controlled and traceable manner.Retirement considerations
Organizations may need to address:- approval to retire
- data retention and disposal
- access removal
- dependency management
- contractual obligations
- evidence retention
- residual risks
- stakeholder communication
- records management
Post-retirement controls
Relevant governance records and evidence should be retained according to organizational requirements, even after active operation ends.Source
The canonical procedure is maintained in:guidance/02-procedures/12-AIGO-AI-Retirement-Procedure-v0.1.md