Tightening the Ooda Loop

Police Militarization, Race, and Algorithmic Surveillance

Bibliographic Data

ID8243333
AuthorsJeffrey Vagle, Jeffrey L Vagle (Max Planck Institute for Innovation and Competition, corresponding author)
Year2016
Issue22.1
Pages101
Publication date2016-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueMichigan Journal of Race & Law (JOURNAL)
Journal identifiersISSN: 1095-2721 • E-ISSN: 2688-5492
DOI10.36643/mjrl.22.1.tightening
OpenAlexW3125906356
LanguageEN
Citations received2
References cited12

This Article examines how military automated surveillance and intelligence systems and techniques, when used by civilian police departments to enhance predictive policing programs, have reinforced racial bias in policing. I will focus on two facets of this problem. First, I investigate the role played by advanced military technologies and methods within civilian police departments. These approaches have enabled a new focus on deterrence and crime prevention by creating a system of structural surveillance where decision support relies increasingly upon algorithms and automated data analysis tools and automates de facto penalization and containment based on race. Second, I will explore these militarized systems, and their effects, from an outside-in perspective, paying particular attention to the racial, societal, economic, and geographic factors that play into the public perception of these new policing regimes. I will conclude by proposing potential solutions to this problem that incorporate tests for racial bias to create an alternative system that follows a true community policing model

Community policing · Computer security · Criminology · Deterrence theory · Militarization · Political science · Politics · Public relations · Sociology · Computer Science · Law · Law, Rights, and Freedoms · Artificial Intelligence

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Open DOIOpen Access