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Full-Text Articles in Law and Race

Deprogramming Bias: Expanding The Exclusionary Rule To Pretextual Traffic Stop Using Data From Autonomous Vehicle And Drive-Assistance Technology, Joe Hillman Jun 2022

Deprogramming Bias: Expanding The Exclusionary Rule To Pretextual Traffic Stop Using Data From Autonomous Vehicle And Drive-Assistance Technology, Joe Hillman

University of Michigan Journal of Law Reform

As autonomous vehicles become more commonplace and roads become safer, this new technology provides an opportunity for courts to reconsider the constitutional rationale of modern search and seizure law. The Supreme Court should allow drivers to use evidence of police officer conduct relative to their vehicle’s technological capabilities to argue that a traffic stop was pretextual, meaning they were stopped for reasons other than their supposed violation. Additionally, the Court should expand the exclusionary rule to forbid the use of evidence extracted after a pretextual stop. The Court should retain some exceptions to the expanded exclusionary rule, such as when …


When Critical Race Theory Enters The Law & Technology Frame, Jessica M. Eaglin Jan 2021

When Critical Race Theory Enters The Law & Technology Frame, Jessica M. Eaglin

Michigan Journal of Race and Law

Michigan Technology Law Review is proud to partner with our peers to publish this essay by Professor Jessica Eaglin on the intertwining social construction of race, law and technology. This piece highlights how the approach to use technology as precise tools for criminal administration or objective solutions to societal issues often fails to consider how laws and technologies are created in our racialized society. If we do not consider how race and technology are co-productive, we will fail to reach substantive justice and instead reinforce existing racial hierarchies legitimated by laws.


Tightening The Ooda Loop: Police Militarization, Race, And Algorithmic Surveillance, Jeffrey L. Vagle Oct 2016

Tightening The Ooda Loop: Police Militarization, Race, And Algorithmic Surveillance, Jeffrey L. Vagle

Michigan Journal of Race and Law

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 …