Canary Deployment is a cautious rollout strategy in AI infrastructure where a new model version is incrementally introduced to a small subset of users or traffic. This approach allows monitoring of performance and detection of potential issues before full deployment, reducing the risk of widespread failures or negative impacts, and ensuring the stability and reliability of AI systems in production environments.