26 citations · 30 across the 7 of their papers we have counts for
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cs.LG2019
Tracking and Improving Information in the Service of Fairness
Sumegha Garg, Michael P. Kim, Omer Reingold
As algorithmic prediction systems have become widespread, fears that these systems may inadvertently discriminate against members of underrepresented populations have grown. With t…
cs.LG2019
Preference-Informed Fairness
Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum +1
We study notions of fairness in decision-making systems when individuals have diverse preferences over the possible outcomes of the decisions. Our starting point is the seminal wor…