Machine Learning Forecasts of Risk to Inform Sentencing Decisions

By Richard A. Berk, Jordan M. Hyatt. 2015

59 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Sociology and Political Science

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Citations in the corpus

Fairness in Criminal Justice Risk Assessments: The State of the Art (2017, background): “…and Stevenson 2016), government agencies (National Science and Technology Council 2016:30-32), foundations (Pew Center of the States 2011), and academics (Berk 2008; Berk and Hyatt 2015; Demuth 2003; Hamilton 2016; Harcourt 2007; Hyatt, Chanenson, and Bergstrom 2011; Starr 2014b; Tonry 2014).”
Data Science of the People , for the People , by the People : A Viewpoint on an Emerging Dichotomy (2015, methodology): “On one hand, we have applications such as medical diagnosis [22], loan approval [32] and prison sentencing [9] in which data-driven predictions are used to support people in making consequential decisions that can have a profound effect on people.”
An impact assessment of machine learning risk forecasts on parole board decisions and recidivism (2017, background): “Still, there also seems to be some common ground (Berk and Hyatt 2015).”
Engineering safety in machine learning (2016, background): “Predictions made by machine learning systems in applications such as medical diagnosis [8], loan approval [9], and prison sentencing [10] can have a profound effect on people; undesired outcomes are truly harmful in a human sense.”
A Primer on Fairness in Criminal Justice Risk Assessments (2016, background): “…Department of Criminology Department of Statistics University of Pennsylvania Introduction There are widespread concerns about fairness when actuarial risk assessments are used to inform criminal justice decisions (Harcourt, 2008; Tonrey, 2014; Starr, 2014; Berk and Hyatt, 2015, Crawford, 2016).”
Forecasting Domestic Violence: A Machine Learning Approach to Help Inform Arraignment Decisions (2016, background): “…three different categories of crime committed while on probation or parole to rationalize the intensity of supervision and the kinds of services offered (Berk et al. 2010), and future violence to help judges make post-conviction sentencing decisions (Berk & Bleich 2013, 2014; Berk & Hyatt 2015).”