Decommission: statements 40 - 42
The Decommissioning stage of the AI lifecycle focuses on the planning, delivery, and documentation of decommissioning activities.
Decommissioning an AI-enabled system encompasses the entire AI production system. It includes retiring, shutting down, or repurposing system components. It is part of the full AI lifecycle process and is distinct from other activities that may occur during the lifecycle like retiring data, AI models, infrastructure, or captured data.
Taking a structured approach will allow you to safely decommission an AI system – mitigating the risk of unauthorised access or a data breach while ensuring ongoing compliance.
Notes:
The Pilot AI Assurance Framework recommends understanding the implications of decommissioning an AI system to ensure agencies can address all potential consequences.
The Voluntary AI Safety Standard promotes proactive stakeholder engagement during the retirement stage, as well as the importance of maintaining detailed records.
The Policy for the responsible use of AI in government encourages business and technology process enhancement to assist APS AI capability uplift over time.