Algorithms in the Criminal Justice System: Assessing the Use of Risk Assessments in Sentencing

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Title:	Algorithms in the Criminal Justice System: Assessing the Use of Risk Assessments in Sentencing
Author:	Kehl, Danielle Leah; Kessler, Samuel Ari Note: Order does not necessarily reflect citation order of authors.
Citation:	Kehl, Danielle, Priscilla Guo, and Samuel Kessler. 2017. Algorithms in the Criminal Justice System: Assessing the Use of Risk Assessments in Sentencing. Responsive Communities Initiative, Berkman Klein Center for Internet & Society, Harvard Law School.
Full Text & Related Files:	2017-07_responsivecommunities_2.pdf (302.7Kb; PDF)
Abstract:	Risk assessment tools are increasingly being incorporated into all aspects of the criminal justice system. This paper focuses on the use of these tools in the sentencing process, a relatively recent development which raises fundamental legal and ethical questions about fairness, accountability, and transparency. The paper provides an overview of these issues and questions for further research that can help local policymakers who are currently implementing or considering implementing similar systems in their jurisdiction.
Terms of Use:	This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page:	http://nrs.harvard.edu/urn-3:HUL.InstRepos:33746041
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