466 citations · 750 across the 25 of their papers we have counts for
3 papers · 1 filter
Mitigating Included- and Omitted-Variable Bias in Estimates of Disparate Impact
Jongbin Jung, Sam Corbett-Davies, Johann D. Gaebler +2
Managers, employers, policymakers, and others often seek to understand whether decisions are biased against certain groups. One popular analytic strategy is to estimate disparities…
The Measure and Mismeasure of Fairness
Sam Corbett-Davies, Johann D. Gaebler, Hamed Nilforoshan +2
The field of fair machine learning aims to ensure that decisions guided by algorithms are equitable. Over the last decade, several formal, mathematical definitions of fairness have…
Algorithmic Decision Making in the Presence of Unmeasured Confounding
Jongbin Jung, Ravi Shroff, Avi Feller +1
On a variety of complex decision-making tasks, from doctors prescribing treatment to judges setting bail, machine learning algorithms have been shown to outperform expert human jud…