Canary Deployment
A deployment strategy where a new model is gradually rolled out to a small subset of users to detect issues before full-scale deployment.
In plain language
Rolling out a new AI model to just a few percent of users first instead of everyone at once. If problems appear, you have only affected a small group and can fix them before expanding further.
Why this matters
Canary deployment is a risk management practice that limits potential harm from unexpected model failures. Your implementation strategy should use canary releases for models affecting material decisions, allowing time to detect performance degradation or fairness issues before they scale.
Relevance
ImplementationCanary deployment is an operational risk mitigation technique used when rolling out AI systems to production environments.
Related terms
Putting canary deployment into practice in your organisation?
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