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文章基本信息

  • 标题:Tightening the OODA Loop: Police Militarization, Race, and Algorithmic Surveillance
  • 本地全文:下载
  • 作者:Vagle, Jeffrey L.
  • 期刊名称:Michigan Journal of Race and Law
  • 印刷版ISSN:1095-2721
  • 出版年度:2016
  • 卷号:22
  • 期号:1
  • 页码:101-137
  • 出版社:University of Michigan Law School
  • 摘要: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.
  • 关键词:Surveillance; Race and law; Police; Predictive policing; Racial bias; Technology; Data analysis; Algorithms; Militarization; Intelligence
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