Exploring the impact of algorithmic policing on social justice: Developing a framework for rhizomatic harm in the pre-crime society.

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Abstract

This paper aims to contribute to digital criminology by proposing a framework of rhizomatic harms of algorithmic policing. We propose to expand zemiologist insights with a technological and relational component, and to broaden the concept of 'social harms' to 'rhizomatic harms'. Rhizomatic harms are to be understood in all their complexity, as they emerge from multiple entry points with the creation of complex layers of harms as a result. By focussing on the genealogy of rhizomatic harms of algorithmic policing in our analysis we aim to make visible the collective, relational, cumulative, and intersectional dimensions of harms and the role macro, meso and micro processes play in harm production. The Top400 list and the use of the ProKid + algorithm in Amsterdam, The Netherlands will be used to exemplify our framework.
Original languageEnglish
Pages (from-to)91–109
Number of pages <span style="color:red"p> <font size="1.5"> ✽ </span> </font>19
JournalTheoretical Criminology
Volume29
Issue number1
DOIs
Publication statusPublished - 2025

Bibliographical note

Funding Information:
The authors disclosed receipt of the following financial support for the research, authorship and/or publication of this article: this work was supported by the Interuniversity Flemish BOF project: Future-Proofing Human Rights: Developing Thicker Forms of Accountability.

Publisher Copyright:
© The Author(s) 2024.

Keywords

  • Youth justice
  • Juvenile delinquency
  • Children
  • policing
  • algorithms
  • Deleuze & Guattari
  • AI
  • rhizome
  • assemblage
  • harm
  • Risk Profiling
  • risk-assessments
  • pre-crime society

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