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Algorithms, policing, and race: insights from decolonial and critical algorithm studies

Algorithms, policing, and race: insights from decolonial and critical algorithm studies
Algorithms, policing, and race: insights from decolonial and critical algorithm studies
This chapter draws on decolonial and critical algorithm studies to analyze the racial dynamics of predictive policing algorithms. Insights from both fields suggest that, although the algorithms appear to reflect liberal race-neutral logics of objectivity and scientific neutrality, remedial strategies are required to address the risk of exclusionary design processes that can foment essentialist perceptions of a link between race and crime risks. In exploring these issues, the paper advances the extant literature on the societal impact of data-driven predictive algorithms deployed by justice systems.
146-157
Taylor & Francis
Ugwudike, Pamela
2faf9318-093b-4396-9ba1-2291c8991bac
Cunneen, Chris
Deckert, Antje
Porter, Amanda
Tauri, Juan
Webb, Robert
Ugwudike, Pamela
2faf9318-093b-4396-9ba1-2291c8991bac
Cunneen, Chris
Deckert, Antje
Porter, Amanda
Tauri, Juan
Webb, Robert

Ugwudike, Pamela (2023) Algorithms, policing, and race: insights from decolonial and critical algorithm studies. In, Cunneen, Chris, Deckert, Antje, Porter, Amanda, Tauri, Juan and Webb, Robert (eds.) The Routledge International Handbook on Decolonizing Justice. 1st ed. Taylor & Francis, pp. 146-157. (doi:10.4324/9781003176619-16).

Record type: Book Section

Abstract

This chapter draws on decolonial and critical algorithm studies to analyze the racial dynamics of predictive policing algorithms. Insights from both fields suggest that, although the algorithms appear to reflect liberal race-neutral logics of objectivity and scientific neutrality, remedial strategies are required to address the risk of exclusionary design processes that can foment essentialist perceptions of a link between race and crime risks. In exploring these issues, the paper advances the extant literature on the societal impact of data-driven predictive algorithms deployed by justice systems.

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e-pub ahead of print date: 3 July 2023
Published date: 3 July 2023

Identifiers

Local EPrints ID: 480487
URI: http://eprints.soton.ac.uk/id/eprint/480487
PURE UUID: 34cb1cf1-1aa6-4173-a614-00c4cd4b996a
ORCID for Pamela Ugwudike: ORCID iD orcid.org/0000-0002-1084-7796

Catalogue record

Date deposited: 03 Aug 2023 16:38
Last modified: 06 Jun 2024 01:59

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Contributors

Author: Pamela Ugwudike ORCID iD
Editor: Chris Cunneen
Editor: Antje Deckert
Editor: Amanda Porter
Editor: Juan Tauri
Editor: Robert Webb

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