Safety Evaluation

A systematic assessment of an AI system's behavior across scenarios involving potential harms — including bias, misinformation, dangerous content generation, and susceptibility to misuse. Safety evaluation goes beyond standard performance metrics to ask whether a model behaves responsibly across the full range of ways it might actually be used, including adversarial inputs and edge cases that normal benchmarks don't capture.
See also: red-teaming, model card.