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Found 2 papers, 1 papers with code
FA*IR: A Fair Top-k Ranking Algorithm
In this work, we define and solve the Fair Top-k Ranking problem, in which we want to determine a subset of k candidates from a large pool of n >> k candidates, maximizing utility (i. e., select the "best" candidates) subject to group fairness criteria.
Exposing the Probabilistic Causal Structure of Discrimination
Discrimination discovery from data is an important task aiming at identifying patterns of illegal and unethical discriminatory activities against protected-by-law groups, e. g., ethnic minorities.
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