Model Deprecation
The planned process of retiring an AI model from production, including communication to stakeholders, migration planning and ensuring continuity of service.
In plain language
The structured retirement of an AI model. You notify users, migrate to a replacement and shut down the old system; like ending support for an old software product.
Why this matters
Model deprecation is often overlooked in governance frameworks. Your organisation must define clear end-of-life processes for every AI, including stakeholder notification, data handling and migration responsibility.
Relevance
GovernanceEstablishing deprecation processes ensures responsible retirement of AI systems and protects users and data through planned transitions.
Related terms
Putting model deprecation into practice in your organisation?
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