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Tightening The Ooda Loop: Police Militarization, Race, And Algorithmic Surveillance, Jeffrey L. Vagle
Tightening The Ooda Loop: Police Militarization, Race, And Algorithmic Surveillance, Jeffrey L. Vagle
All Faculty Scholarship
This Article examines the role military automated surveillance and intelligence systems and techniques have supported a self-reinforcing racial bias when used by civilian police departments to enhance predictive policing programs. I will focus on two facets of this problem. First, my research will take an inside-out perspective, studying the role played by advanced military technologies and methods within civilian police departments, and how they 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 which automates de facto penalization and …
Rethinking Racial Profiling: A Critique Of The Economics, Civil Liberties, And Constitutional Literature, And Of Criminal Profiling More Generally, Bernard Harcourt
Rethinking Racial Profiling: A Critique Of The Economics, Civil Liberties, And Constitutional Literature, And Of Criminal Profiling More Generally, Bernard Harcourt
Faculty Scholarship
New reporting requirements and data collection efforts by over four hundred law enforcement agencies across the country – including entire states such as Maryland, Missouri, and Washington – are producing a continuous flow of new evidence on highway police searches. For the most part, the data consistently show disproportionate searches of African-American and Hispanic motorists in relation to their estimated representation on the road. Economists, civil liberties advocates, legal and constitutional scholars, political scientists, lawyers, and judges are poring over the new data and reaching, in many cases, quite opposite conclusions about racial profiling.