Chapter 22: AI in policing and law enforcement

Predictive policing is a tool-based process that is increasingly framed in terms of AI. The aim is to identify patterns from large datasets that can help officers to focus their work and render police work more efficient. Such practices stretch from the generation of geospatial predictions to organi...

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Auteur principal: Kaufmann, Mareile
Format: Online
Langue:anglais
Publié: Edward Elgar Publishing 2024
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Accès en ligne:https://directory.doabooks.org/handle/20.500.12854/142602
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author Kaufmann, Mareile
author_browse Kaufmann, Mareile
author_facet Kaufmann, Mareile
author_sort Kaufmann, Mareile
collection Directory of Open Access Books
description Predictive policing is a tool-based process that is increasingly framed in terms of AI. The aim is to identify patterns from large datasets that can help officers to focus their work and render police work more efficient. Such practices stretch from the generation of geospatial predictions to organize police patrol, to predicting physiognomic features from the DNA profile of an unidentified owner to guide investigations. Predictions are generated in a complex process involving humans, datasets and algorithms. This chapter follows the lifecycle of algorithms to illustrate these socio-technical clusters. It traces the imaginaries about the data expected to work best for predictions. It describes the collaborative practices of data generation, cleaning and storage, as well as the process of using this data for training algorithms. The chapter places these insights in a critical discussion about predictions as a socio-technical practice that performs its own politics.
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spelling doab-20.500.12854ir-1426022024-07-25T14:07:46Z Chapter 22: AI in policing and law enforcement Kaufmann, Mareile Algorithms; Predictive policing; DNA; Phenotyping; Police; Big data JPQB Predictive policing is a tool-based process that is increasingly framed in terms of AI. The aim is to identify patterns from large datasets that can help officers to focus their work and render police work more efficient. Such practices stretch from the generation of geospatial predictions to organize police patrol, to predicting physiognomic features from the DNA profile of an unidentified owner to guide investigations. Predictions are generated in a complex process involving humans, datasets and algorithms. This chapter follows the lifecycle of algorithms to illustrate these socio-technical clusters. It traces the imaginaries about the data expected to work best for predictions. It describes the collaborative practices of data generation, cleaning and storage, as well as the process of using this data for training algorithms. The chapter places these insights in a critical discussion about predictions as a socio-technical practice that performs its own politics. Published 2024-07-25T14:07:39Z 2024-07-25T14:07:39Z 2024-06-21 chapter 9781803922171 https://directory.doabooks.org/handle/20.500.12854/142602 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.e-elgar.com/shop/gbp/handbook-on-public-policy-and-artificial-intelligence-9781803922164.html https://www.elgaronline.com/edcollchap-oa/book/9781803922171/book-part-9781803922171-31.xml Edward Elgar Publishing Edward Elgar Publishing 10.4337/9781803922171.00031 10.4337/9781803922171.00031 01ceac28-75b4-492a-8eec-f9b98bc6b28c https://creativecommons.org/licenses/by-nc-nd/4.0/ 9781803922171 Edward Elgar Publishing Cheltenham, UK open access
spellingShingle Algorithms; Predictive policing; DNA; Phenotyping; Police; Big data
JPQB
Kaufmann, Mareile
Chapter 22: AI in policing and law enforcement
title Chapter 22: AI in policing and law enforcement
title_full Chapter 22: AI in policing and law enforcement
title_fullStr Chapter 22: AI in policing and law enforcement
title_full_unstemmed Chapter 22: AI in policing and law enforcement
title_short Chapter 22: AI in policing and law enforcement
title_sort chapter 22 ai in policing and law enforcement
topic Algorithms; Predictive policing; DNA; Phenotyping; Police; Big data
JPQB
topic_facet Algorithms; Predictive policing; DNA; Phenotyping; Police; Big data
JPQB
url https://directory.doabooks.org/handle/20.500.12854/142602
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