More than 100,000 Automated License Plate Reader cameras are now operating across the United States, feeding data into networks shared by thousands of police departments and federal agencies. But where are these cameras located, and who is most affected by this growing surveillance infrastructure?
In this episode, we speak with Professor Steven Keener of Christopher Newport University, first author of the recent study“Surveillance Inequality: Race, Poverty, and the Geography of Automated License Plate Reader Deployment.“ Together, we explore the findings of the research and what they reveal about the relationship between surveillance, race, poverty, and community impact.
As part two of our series on Flock Safety and ALPR technology, this conversation examines how these systems work, how data is shared among more than 3,000 law enforcement agencies, and why these developments are generating growing concern among researchers, advocates, and community members.
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