Risk assessment instrument (RAI) datasets, particularly ProPublica's COMPAS dataset, are
commonly used in algorithmic fairness papers due to benchmarking practices of comparing …

Algorithms are increasingly used in different domains of public policy. They help humans to
profile unemployed, support administrations to detect tax fraud and give recidivism risk …

Corrections in the Community, Seventh Edition, examines the current state of community
corrections and proposes an evidence-based approach to making programs more effective …

Individual Differences and Personality provides a student-friendly introduction to both classic
and cutting-edge research into personality, mood, motivation and intelligence, and their …

This paper addresses a key application of Machine Learning (ML) in the legal domain,
studying how ML may be used to increase the effectiveness of a criminal recidivism risk …

Executive (dys) functioning is a known risk factor for offending behavior. A meta-analysis
was conducted to understand differences in executive functioning across justice-involved …

The deployment of machine learning models is expected to bring several benefits.
Nevertheless, as a result of the complexity of the ecosystem in which models are generally …

This paper investigates the inter-rater reliability of risk assessment instruments (RAIs). The
main question is whether different, socially salient groups are affected differently by a lack of …

In the criminal justice system, algorithmic risk assessment instruments are used to predict
the risk a defendant poses to society; examples include the risk of recidivating or the risk of …

Evidence from several longitudinal studies has established the relevance of the approach of
evolutionary criminology to understanding and intervening with adolescent criminal …