Big data surveillance across fields

Algorithmic governance for policing & regulation

Bibliographic Data

ID5260405
AuthorsA Amicelle (0000-0001-6735-4960, Sciences Po Bordeaux, corresponding author)
Year2022
Volume9
Issue2
Publication date2022-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBig Data & Society (JOURNAL)
Journal identifiersISSN: 2053-9517 • E-ISSN: 2053-9517
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/20539517221112431
OpenAlexW4289321048
LanguageIT
Citations received6
References cited37

While the academic separation of policing and regulation is still largely operative, points of convergence are more significant than ever in the digital age, starting with concomitant debates about algorithms as a new figure of power. From the policing of illegal activities to the regulation of legal ones, the algorithmization of such critical social ordering practices has been the subject of growing attention. These burgeoning discussions are focused on one common element: big data surveillance. In accordance with such similarities and paralleled developments in policing and regulation, the article aims to further bridge the gap between literatures to respond to the calls for studying big data surveillance across institutional domains and social fields. To do so, it is focused on one case study that articulates algorithmic policing and regulation domains, in-between security and economic fields. This is the fight against illicit finance, i.e. 'the global action against the financial flows that fuel crime and terrorism'. To what extent does big data surveillance make a difference in the main global policy of crime-fighting and financial regulation? Drawing on a fieldwork in a large North American bank, the present article takes stock of the algorithmic overlap between policing and regulation. It argues that the final result is policing and regulation of neither too much nor too little, which gives rise to automated and everyday mass surveillance while remaining as far removed from regulatory and crime-fighting ambitions as it is from dystopian visions of big data and algorithmic drama

Big data · Corporate governance · Criminal justice · Economics · Law and economics · Political economy · Political science · Public relations · Sociology · Vision · Computer Science · Criminal Justice and Corrections Analysis · Ethics and Social Impacts of AI · Law · Policing Practices and Perceptions · Finance

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