Big Data and Procedural Justice: Legitimizing Algorithms in the Criminal Justice System
Author(s) -
Ric Simmons
Publication year - 2020
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.3659347
Subject(s) - criminal justice , economic justice , procedural justice , political science , criminology , theory of criminal justice , big data , law , computer science , algorithm , sociology , psychology , data mining , neuroscience , perception
Big data algorithms are becoming more common in the criminal justice system: they are used to provide more effective allocation of police resources, to notify police of potentially dangerous individuals at specific locations, to guide efforts to intervene with individuals before they engage in criminal activity, to advise judges making decisions about pre-trial detention, and to provide guidance to judges at sentencing. The debate about the propriety of using these algorithms has primarily focused on whether they are fair to the defendants they are evaluating. However, those in favor of using these tools in the criminal justice system must also consider another potential hurdle: whether these new tools will be accepted by the general public. For centuries, decisions in the criminal justice system have been made by individuals: police officers, judges, bureaucrats, and legislators. The general public is accustomed to these decision-makers and, for the
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