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Professor Ferguson talks police surveillance in TIME; new book on big data policing out now

Wednesday, October 4, 2017   (0 Comments)
Posted by: Erin Looney
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In a TIME Magazine article out yesterday, UDC Law professor Andrew Ferguson provides a glimpse into the provocative content of his new book The Rise of Big Data Policing: Race, Surveillance, and the Future of Law Enforcement. Ferguson describes a predictive policing model used in Chicago in which citizens are assigned a numerical threat score by a secret algorithm. As he points out in the article and in the book, such big data policing strategies are the “future of big data policing—and depending on how you see it, either an innovative approach to violence reduction or a terrifying example of data-driven social control.”

In “The Police Are Using Computer Algorithms to Tell if You’re a Threat,” Ferguson briefly addresses a host of questions that arise from practices like the threat assessment score used in Chicago, including fairness, bias, effectiveness, and sustainability. He purposefully avoids answering the questions, instead setting the stage for readers to seek out The Rise of Big Data Policing (available from NYU Press) and come to their own conclusions.

Talk to Professor Ferguson about predictive policing, big data, and his new book at UDC Law this Thursday, October 5 at 5:00 PM. Register here.

Read a review of The Rise of Big Data Policing: Race, Surveillance, and the Future of Law Enforcement from Kirkus here.

 


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