Algorithmic fairness: Choices, assumptions, and definitions

S Mitchell, E Potash, S Barocas… - Annual review of …, 2021 - annualreviews.org
A recent wave of research has attempted to define fairness quantitatively. In particular, this
work has explored what fairness might mean in the context of decisions based on the …

Risk assessment in criminal sentencing

J Monahan, JL Skeem - Annual review of clinical psychology, 2016 - annualreviews.org
The past several years have seen a surge of interest in using risk assessment in criminal
sentencing, both to reduce recidivism by incapacitating or treating high-risk offenders and to …

The measure and mismeasure of fairness

S Corbett-Davies, JD Gaebler, H Nilforoshan… - The Journal of Machine …, 2023 - dl.acm.org
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 …

Bias in, bias out

SG Mayson - YAle lJ, 2018 - HeinOnline
Police, prosecutors, judges, and other criminal justice actors increasingly use algorithmic
risk assessment to estimate the likelihood that a person will commit future crime. As many …

Algorithmic decision making and the cost of fairness

S Corbett-Davies, E Pierson, A Feller, S Goel… - Proceedings of the 23rd …, 2017 - dl.acm.org
Algorithms are now regularly used to decide whether defendants awaiting trial are too
dangerous to be released back into the community. In some cases, black defendants are …

Fair prediction with disparate impact: A study of bias in recidivism prediction instruments

A Chouldechova - Big data, 2017 - liebertpub.com
Recidivism prediction instruments (RPIs) provide decision-makers with an assessment of the
likelihood that a criminal defendant will reoffend at a future point in time. Although such …

Ethical implications and accountability of algorithms

K Martin - Journal of business ethics, 2019 - Springer
Algorithms silently structure our lives. Algorithms can determine whether someone is hired,
promoted, offered a loan, or provided housing as well as determine which political ads and …

Algorithmic reparation

JL Davis, A Williams, MW Yang - Big Data & Society, 2021 - journals.sagepub.com
Machine learning algorithms pervade contemporary society. They are integral to social
institutions, inform processes of governance, and animate the mundane technologies of …

Proxy discrimination in the age of artificial intelligence and big data

AER Prince, D Schwarcz - Iowa L. Rev., 2019 - HeinOnline
Big data and Artificial Intelligence (" A") are revolutionizing the ways in which firms,
governments, and employers classify individuals. Surprisingly, however, one of the most …

A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions

A Chouldechova, D Benavides-Prado… - Conference on …, 2018 - proceedings.mlr.press
Every year there are more than 3.6 million referrals made to child protection agencies across
the US. The practice of screening calls is left to each jurisdiction to follow local practices and …