Pre-Crime Prediction: Does It Have Value? Is It Inherently Racist?

David H. McElreath, Sherri DioGuardi, Daniel Adrian Doss

Source Title: International Journal of Service Science, Management, Engineering, and Technology (IJSSMET)13(1)

ISSN: 1947-959X|EISSN: 1947-9603|EISBN13: 9781799884378|DOI: 10.4018/IJSSMET.298672

MLA

McElreath, David H., et al. "Pre-Crime Prediction: Does It Have Value? Is It Inherently Racist?." IJSSMET vol.13, no.1 2022: pp.1-17. http://doi.org/10.4018/IJSSMET.298672

APA

McElreath, D. H., Sherri DioGuardi, & Doss, D. A. (2022). Pre-Crime Prediction: Does It Have Value? Is It Inherently Racist?. International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 13(1), 1-17. http://doi.org/10.4018/IJSSMET.298672

Chicago

McElreath, David H., Sherri DioGuardi, and Daniel Adrian Doss. "Pre-Crime Prediction: Does It Have Value? Is It Inherently Racist?," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) 13, no.1: 1-17. http://doi.org/10.4018/IJSSMET.298672

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Abstract

This paper considered the emerging use of predictive analytics in the justice domain with respect to potential bias. It discussed predictive algorithms and methods from the perspectives of reported crime and community safety in the United States. Although predictive algorithms, techniques, and implementation contexts are emerging, imperfection exists with respect to their use. Despite any effectiveness or efficiency of using predictive algorithms, such use should neither deny human rights nor transgress societal laws. Regardless, the emergence of predictive policing fuels and enhances the classic debate of balancing liberty versus security within a civil society.