skip navigation

PUBLICATIONS

Register for Latest Research

Stay Informed
Register with NCJRS to receive NCJRS's biweekly e-newsletter JUSTINFO and additional periodic emails from NCJRS and the NCJRS federal sponsors that highlight the latest research published or sponsored by the Office of Justice Programs.

NCJRS Abstract

The document referenced below is part of the NCJRS Virtual Library collection. To conduct further searches of the collection, visit the Virtual Library. See the Obtain Documents page for direction on how to access resources online, via mail, through interlibrary loans, or in a local library.

 

NCJ Number: 99008 Find in a Library
Title: Politics of Prediction (From Prediction in Criminology, P 34-51, 1985, David P Farrington and Roger Tarling, ed. - See NCJ-99006)
Author(s): L T Wilkins
Date Published: 1985
Page Count: 18
Sponsoring Agency: State University of New York Press
Albany, NY 12207
Sale Source: State University of New York Press
90 State Street, Suite 700
Albany, NY 12207
United States of America
Type: Report (Study/Research)
Language: English
Country: United States of America
Annotation: This paper discusses ethical and policy issues in the development of prediction methods and potential uses of such methods in criminal justice.
Abstract: The moral questions that arise in this area are derived from the concepts of freedom and democracy and the balance between individual and State rights and balance between individual and State rights and privileges. These abstract ideas take shape in concerns as to the appropriate uses of information about persons who have been found guilty of crimes, as well as those who are merely accused of offenses. If discrimination between certain persons in terms of particular attributes (e.g., ethnic origin) is forbidden, then it may be argued that the use of such information is morally unacceptable, even if it is not illegal. If an unacceptable type of information is included in equations, its use may be hidden among other data. This may present a problem, but the final use of the conglomerate data should, perhaps, provide the criterion. For this reason, it is argued that the most efficient prediction equations should be sought, but only to test for any loss of efficiency due to the exclusion of certain data, to estimate the probable cost of using the simpler methods. In addition to issues that arise in regard to the kinds of information and their uses, there are concerns related to the offender's legal status. Persons who have been found guilty are usually assumed to have lost some of their constitutional rights. It is argued that one of the rights derogated is the right to withhold personal information. Thus, the moral issues surrounding the use of predictive techniques for persons not found guilty (and therefore presumed innocent) are different from those raised by the prediction of recidivism, and prediction of recidivism differs morally from the prediction of probable delinquency. The concepts of due process and just deserts are necessary and provide useful constraints on the uses of predictive instruments. Five references are provided. (Author abstract modified)
Index Term(s): Constitutional Rights/Civil Liberties; Crime control policies; Criminal justice research; Criminality prediction; Prediction; Professional conduct and ethics; Recidivism prediction
To cite this abstract, use the following link:
http://www.ncjrs.gov/App/publications/abstract.aspx?ID=99008

*A link to the full-text document is provided whenever possible. For documents not available online, a link to the publisher's website is provided. Tell us how you use the NCJRS Library and Abstracts Database - send us your feedback.