Paradoxes in Fair Machine Learning

NeurIPS 2019 Paul GoelzAnson KahngAriel D. Procaccia

Equalized odds is a statistical notion of fairness in machine learning that ensures that classification algorithms do not discriminate against protected groups. We extend equalized odds to the setting of cardinality-constrained fair classification, where we have a bounded amount of a resource to distribute... (read more)

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