AI Reliability is the measure of an artificial intelligence system's consistent performance and trustworthiness across various scenarios and datasets. Ensuring AI Reliability entails rigorous testing, formal verification methods, and continuous monitoring to prevent failures and biases that could undermine its effectiveness and safety.