An algorithm for removing sensitive information

JE Johndrow, K Lum - The Annals of Applied Statistics, 2019 - JSTOR
Predictive modeling is increasingly being employed to assist human decision-makers. One
purported advantage of replacing or augmenting human judgment with computer models in …

A statistical framework for fair predictive algorithms

K Lum, J Johndrow - arXiv preprint arXiv:1610.08077, 2016 - arxiv.org
Predictive modeling is increasingly being employed to assist human decision-makers. One
purported advantage of replacing human judgment with computer models in high stakes …

Fairness evaluation in presence of biased noisy labels

R Fogliato, A Chouldechova… - … conference on artificial …, 2020 - proceedings.mlr.press
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 …

Using algorithms to address trade‐offs inherent in predicting recidivism

J Skeem, C Lowenkamp - Behavioral Sciences & the Law, 2020 - Wiley Online Library
Although risk assessment has increasingly been used as a tool to help reform the criminal
justice system, some stakeholders are adamantly opposed to using algorithms. The principal …

The role of race in forecasts of violent crime

R Berk - Race and social problems, 2009 - Springer
This paper addresses the role of race in forecasts of failure on probation or parole. Failure is
defined as committing a homicide or attempted homicide or being the victim of a homicide or …

Racist algorithms or systemic problems? Risk assessments and racial disparities

GM Vincent, JL Viljoen - Criminal justice and behavior, 2020 - journals.sagepub.com
As recent and historical events attest, racial and ethnic disparities are widely engrained into
the justice system. Recently, scholars and policymakers have raised concerns that risk …

Conditional race disparities in criminal sentencing: A test of the liberation hypothesis from a non-guidelines state

R Hester, TK Hartman - Journal of quantitative criminology, 2017 - Springer
Objectives To test the liberation hypothesis in a judicial context unconstrained by sentencing
guidelines. Methods We examined cross-sectional sentencing data (n= 17,671) using a …

[PDF][PDF] The age of secrecy and unfairness in recidivism prediction

C Rudin, C Wang, B Coker - Harvard Data Science Review, 2020 - assets.pubpub.org
In our current society, secret algorithms make important decisions about individuals. There
has been substantial discussion about whether these algorithms are unfair to groups of …

Using sensitive personal data may be necessary for avoiding discrimination in data-driven decision models

I Žliobaitė, B Custers - Artificial Intelligence and Law, 2016 - Springer
Increasing numbers of decisions about everyday life are made using algorithms. By
algorithms we mean predictive models (decision rules) captured from historical data using …

[PDF][PDF] Measuring racial discrimination in bail decisions

D Arnold, W Dobbie, P Hull - 2020 - aeaweb.org
Notes. This figure plots race-specific release rates for the 268 judges in our sample against
rates of predicted pretrial misconduct among the set of released defendants. Predicted …