A system property where the same input may produce different outputs across runs. Most generative AI systems are non-deterministic by default due to sampling strategies, floating-point computation variations, and infrastructure differences. Non-determinism affects auditability, testing reproducibility, and user expectations; controls like temperature settings can enforce more deterministic behavior when needed.