The University of Southampton
University of Southampton Institutional Repository

Predictive algorithms in justice systems and the limits of tech-reformism

Predictive algorithms in justice systems and the limits of tech-reformism
Predictive algorithms in justice systems and the limits of tech-reformism

Data-driven digital technologies are playing a pivotal role in shaping the global landscape of criminal justice across several jurisdictions. Predictive algorithms, in particular, now inform decision making at almost all levels of the criminal justice process. As the algorithms continue to proliferate, a fast-growing multidisciplinary scholarship has emerged to challenge their logics and highlight their capacity to perpetuate historical biases. Drawing on insights distilled from critical algorithm studies and the digital sociology scholarship, this paper outlines the limits of prevailing tech-reformist remedies. The paper also builds on the interstices between the two scholarships to make a case for a broader structural framework for understanding the conduits of algorithmic bias.

Algorithmic bias, algorithmic injustice, critical algorithm studies, design justice, digital criminology, digital sociology
2202-8005
85-99
Ugwudike, Pamela
2faf9318-093b-4396-9ba1-2291c8991bac
Ugwudike, Pamela
2faf9318-093b-4396-9ba1-2291c8991bac

Ugwudike, Pamela (2022) Predictive algorithms in justice systems and the limits of tech-reformism. International Journal for Crime, Justice, and Social Democracy, 11 (1), 85-99. (doi:10.5204/ijcjsd.2189).

Record type: Article

Abstract

Data-driven digital technologies are playing a pivotal role in shaping the global landscape of criminal justice across several jurisdictions. Predictive algorithms, in particular, now inform decision making at almost all levels of the criminal justice process. As the algorithms continue to proliferate, a fast-growing multidisciplinary scholarship has emerged to challenge their logics and highlight their capacity to perpetuate historical biases. Drawing on insights distilled from critical algorithm studies and the digital sociology scholarship, this paper outlines the limits of prevailing tech-reformist remedies. The paper also builds on the interstices between the two scholarships to make a case for a broader structural framework for understanding the conduits of algorithmic bias.

Text
Ugwudike Main Manuscript Clean Copy IJCJSD - Accepted Manuscript
Download (81kB)

More information

Accepted/In Press date: 15 November 2021
Published date: 22 February 2022
Additional Information: Publisher Copyright: © The Author(s) 2022.
Keywords: Algorithmic bias, algorithmic injustice, critical algorithm studies, design justice, digital criminology, digital sociology

Identifiers

Local EPrints ID: 452786
URI: http://eprints.soton.ac.uk/id/eprint/452786
ISSN: 2202-8005
PURE UUID: 0a8d82b6-7311-4b26-bb96-5a9805634b18
ORCID for Pamela Ugwudike: ORCID iD orcid.org/0000-0002-1084-7796

Catalogue record

Date deposited: 20 Dec 2021 17:44
Last modified: 06 Jun 2024 01:59

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×