As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new method, named hyperFA*IR, offers a more principled approach when picking candidates based on a limited pool of applicants, especially if minorities are few. The new interactive visualization, “Ranks of Disparity,” makes these complex dynamics visible.
Ranks of Disparity: New approach fixes flaw in fairness algorithms
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