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ENTITY Fairness in multi-class multi-group classification problems via contextial coherent risk measures

Fairness in multi-class multi-group classification problems via contextial coherent risk measures

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    New framework enhances fairness in multi-class AI classification

    Researchers have developed a novel framework for creating fair classifiers in multi-class classification problems, particularly addressing scenarios with vector-valued sensitive attributes. This approach utilizes the th…