The 'uberization of policing'? How police negotiate and operationalise predictive policing technology.
Predictive policing generally refers to police work that utilises strategies, algorithmic technologies, and big data to generate near-future predictions about the people and places deemed likely to be involved in or experience crime. Claimed benefits of predictive policing centre on the technology's...
| Publicado en: | Policing & Society Vol. 31; no. 1; pp. 66 - 82 |
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| Autores principales: | , |
| Formato: | Artículo |
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Taylor & Francis Ltd
Jan2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=148721455&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 148721455 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10439463 BJQ jtl: Policing & Society issn: 10439463 maglogo: N pubinfo: dt: Jan2021 vid: 31 iid: 1 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 148721455 10.1080/10439463.2020.1803315 ppf: 66 ppct: 16 formats: tig: atl: The 'uberization of policing'? How police negotiate and operationalise predictive policing technology. aug: au: Sandhu, Ajay Fussey, Peter affil: Criminology, Ryerson University, Toronto, Canada Sociology, University of Essex, Colchester, UK su: United Kingdom Law enforcement Police Predictive policing Application software sug: subj: Law enforcement Police United Kingdom Software Publishers Software publishers (except video game publishers) Custom Computer Programming Services Police Protection Other Justice, Public Order, and Safety Activities Municipal police services Federal police services Provincial police services Predictive policing Application software keyword: discretion prediction predictive policing technology discretion prediction predictive policing technology ab: Predictive policing generally refers to police work that utilises strategies, algorithmic technologies, and big data to generate near-future predictions about the people and places deemed likely to be involved in or experience crime. Claimed benefits of predictive policing centre on the technology's ability to enable pre-emptive police work by automating police decisions. The goal is that officers will rely on computer software and smartphone applications to instruct them about where and who to police just as Uber drivers rely on similar technologies to instruct them about where to pick up passengers. Unfortunately, little is known about the experiences of the in-field users of predictive technologies. This article helps fill this gap by addressing the under researched area of how police officers engage with predictive technologies. As such, data is presented that outlines the findings of a qualitative study with UK police organisations involved in designing and trialing predictive policing software. Research findings show that many police officers have a detailed awareness of the limitations of predictive technologies, specifically those brought about by errors and biases in input data. This awareness has led many officers to develop a sceptical attitude towards predictive technologies and, in a few cases, these officers have expressed a reluctance to use predictive technologies. Based on these findings, this paper argues that claims about predictive software's ability to neutralise the subjectivity of police work overlooks the ongoing struggles of the police officer to assert their agency and mediate the extent to which predictions will be trusted and utilised. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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