Demographic parity is a fairness criterion in machine learning that ensures equal treatment of different demographic groups in the outcomes of a predictive model. This means that the positive prediction rates should be approximately equal across groups defined by sensitive attributes, such as race, gender, or age. By achieving demographic parity, models aim to reduce bias and promote fairness in decision-making processes.
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