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 …

Assessing risk assessment in action

M Stevenson - Minn. L. Rev., 2018 - HeinOnline
At the forefront of the evidence-based criminal justice movement are algorithmic risk
assessment tools. 3 Risk assessment tools are designed to predict the likelihood that …

Evidence-based sentencing and the scientific rationalization of discrimination

SB Starr - Stan. L. Rev., 2014 - HeinOnline
Providing equal justice for poor and rich, weak and powerful alike is an age-old problem.
People have never ceased to hope and strive to move closer to that goal.... In this tradition …

Risk and punishment: The recent history and uncertain future of actuarial, algorithmic, and “evidence‐based” penal techniques

R Werth - Sociology Compass, 2019 - Wiley Online Library
In recent decades, risk prediction has proliferated in the penal realm. Risk instruments
currently guide an array of correctional decisions—such as participation in diversion …

Predict responsibly: improving fairness and accuracy by learning to defer

D Madras, T Pitassi, R Zemel - Advances in neural …, 2018 - proceedings.neurips.cc
In many machine learning applications, there are multiple decision-makers involved, both
automated and human. The interaction between these agents often goes unaddressed in …

Layers of bias: A unified approach for understanding problems with risk assessment

L Eckhouse, K Lum, C Conti-Cook… - Criminal Justice and …, 2019 - journals.sagepub.com
Scholars in several fields, including quantitative methodologists, legal scholars, and
theoretically oriented criminologists, have launched robust debates about the fairness of …

Constructing recidivism risk

JM Eaglin - Emory LJ, 2017 - HeinOnline
Courts increasingly use actuarial meaning statistically derived information about a
defendant's likelihood of engaging in criminal behavior in the future at sentencing. This …

Interpretable classification models for recidivism prediction

J Zeng, B Ustun, C Rudin - … the Royal Statistical Society Series A …, 2017 - academic.oup.com
We investigate a long-debated question, which is how to create predictive models of
recidivism that are sufficiently accurate, transparent and interpretable to use for decision …

Interventions over predictions: Reframing the ethical debate for actuarial risk assessment

C Barabas, M Virza, K Dinakar, J Ito… - Conference on …, 2018 - proceedings.mlr.press
Actuarial risk assessments are frequently touted as a neutral way to counteract implicit bias
and increase the fairness of decisions made at almost every juncture of the criminal justice …

Algorithmic risk governance: Big data analytics, race and information activism in criminal justice debates

K Hannah-Moffat - Theoretical Criminology, 2019 - journals.sagepub.com
Meanings of risk in criminal justice assessment continue to evolve, making it critical to
understand how particular compositions of risk are mediated, resisted and re-configured by …