activity
20132023
most citedDoes mitigating ML's impact disparity require treatment disparity?

78 citations · 149 across the 7 of their papers we have counts for

collaborators

7 papers

stat.ME2023★ 2 cited

Estimating the Likelihood of Arrest from Police Records in Presence of Unreported Crimes

Riccardo Fogliato, Arun Kumar Kuchibhotla, Zachary Lipton +3

Many important policy decisions concerning policing hinge on our understanding of how likely various criminal offenses are to result in arrests. Since many crimes are never reporte…

cs.HC2021

The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies

Riccardo Fogliato, Alexandra Chouldechova, Zachary Lipton

As algorithmic risk assessment instruments (RAIs) are increasingly adopted to assist decision makers, their predictive performance and potential to promote inequity have come under…

stat.AP2021★ 1 cited

On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes

Riccardo Fogliato, Alice Xiang, Zachary Lipton +2

The risk of re-offense is considered in decision-making at many stages of the criminal justice system, from pre-trial, to sentencing, to parole. To aid decision makers in their ass…

stat.ME2020★ 23 cited

Fairness Evaluation in Presence of Biased Noisy Labels

Riccardo Fogliato, Max G'Sell, Alexandra Chouldechova

Risk assessment tools are widely used around the country to inform decision making within the criminal justice system. Recently, considerable attention has been devoted to the ques…

stat.ML2017★ 78 cited

Does mitigating ML's impact disparity require treatment disparity?

Zachary C. Lipton, Alexandra Chouldechova, Julian McAuley

Following related work in law and policy, two notions of disparity have come to shape the study of fairness in algorithmic decision-making. Algorithms exhibit treatment disparity i…

stat.AP2017★ 32 cited

Fairer and more accurate, but for whom?

Alexandra Chouldechova, Max G'Sell

Complex statistical machine learning models are increasingly being used or considered for use in high-stakes decision-making pipelines in domains such as financial services, health…

math.ST2013★ 13 cited

Sequential Selection Procedures and False Discovery Rate Control

Max Grazier G'Sell, Stefan Wager, Alexandra Chouldechova +1

We consider a multiple hypothesis testing setting where the hypotheses are ordered and one is only permitted to reject an initial contiguous block, H_1,\dots,H_k, of hypotheses. A…