activity
20202023
most citedA Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores

173 citations · 199 across the 6 of their papers we have counts for

collaborators

6 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.HC2022

Homophily and Incentive Effects in Use of Algorithms

Riccardo Fogliato, Sina Fazelpour, Shantanu Gupta +2

As algorithmic tools increasingly aid experts in making consequential decisions, the need to understand the precise factors that mediate their influence has grown commensurately. I…

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…

cs.CY2020★ 173 cited

A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores

Maria De-Arteaga, Riccardo Fogliato, Alexandra Chouldechova

The increased use of algorithmic predictions in sensitive domains has been accompanied by both enthusiasm and concern. To understand the opportunities and risks of these technologi…