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Fairness

The principle that AI systems should not produce unjustified differential outcomes for different groups. Fairness has multiple technical definitions (e.g. demographic parity, equalized odds, individual fairness) that can conflict with each other. A system cannot simultaneously satisfy all fairness definitions in most real-world scenarios. Contracts and governance documents should specify which definition applies and how it will be measured.

See: Algorithmic discrimination; Bias; Disparate impact