Bias
Systematic skew in a model's outputs — a data and design property, not a moral accusation.
Bias in AI has two senses that get conflated: a statistical one (a systematic offset) and a societal one (unfair treatment of groups). NIST distinguishes systemic, statistical, and human cognitive bias, because each needs a different remedy. Naming which kind you mean is half the work of addressing it.
In practice: A model trained on ten years of hiring data reproduces ten years of hiring patterns.