88 citations · 94 across the 3 of their papers we have counts for
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cs.LG2020★ 3 cited
Abstracting Fairness: Oracles, Metrics, and Interpretability
Cynthia Dwork, Christina Ilvento, Guy N. Rothblum +1
It is well understood that classification algorithms, for example, for deciding on loan applications, cannot be evaluated for fairness without taking context into account. We exami…
cs.LG2019
Metric Learning for Individual Fairness
Christina Ilvento
There has been much discussion recently about how fairness should be measured or enforced in classification. Individual Fairness [Dwork, Hardt, Pitassi, Reingold, Zemel, 2012], whi…
cs.LG2018★ 88 cited
Fairness Under Composition
Cynthia Dwork, Christina Ilvento
Algorithmic fairness, and in particular the fairness of scoring and classification algorithms, has become a topic of increasing social concern and has recently witnessed an explosi…