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
85-99
Ugwudike, Pamela
2faf9318-093b-4396-9ba1-2291c8991bac
22 February 2022
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), .
(doi:10.5204/ijcjsd.2189).
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
More information
Accepted/In Press date: 15 November 2021
Published date: 22 February 2022
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Publisher Copyright:
© The Author(s) 2022.
Keywords:
Algorithmic bias, algorithmic injustice, critical algorithm studies, design justice, digital criminology, digital sociology
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Local EPrints ID: 452786
URI: http://eprints.soton.ac.uk/id/eprint/452786
ISSN: 2202-8005
PURE UUID: 0a8d82b6-7311-4b26-bb96-5a9805634b18
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Date deposited: 20 Dec 2021 17:44
Last modified: 17 Mar 2024 03:47
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