| Description |
1 online resource |
| Contents |
Introduction -- Policing by the Numbers: The History of Police Data and the Growing Role of the Private Sector -- Dragnet Surveillance: Policing our Digital Traces -- Directed Surveillance: Predictive Policing and the Quantification of Criminal Risk -- Police Pushback: When the Observer Becomes the Observed -- (De)Coding Inequality: The Promises and Perils of Police Use of Big Data -- Algorithmic Suspicion and Big Data Searches: How Laws are Anachronistic and Inadequate for Governing Police Work in the Digital Age -- Conclusion: Big Data as Social |
| Summary |
The scope of criminal justice surveillance has expanded rapidly in recent decades. At the same time, the use of big data has spread across a range of fields, including finance, politics, healthcare, and marketing. While law enforcement's use of big data is hotly contested, very little is known about how the police actually use it in daily operations and with what consequences. In Predict and Surveil, Sarah Brayne offers an unprecedented, inside look at how police use big data and new surveillance technologies, leveraging on-the-ground fieldwork with one of the most technologically advanced law enforcement agencies in the world--the Los Angeles Police Department. Drawing on original interviews and ethnographic observations, Brayne examines the causes and consequences of algorithmic control. She reveals how the police use predictive analytics to deploy resources, identify suspects, and conduct investigations; how the adoption of big data analytics transforms police organizational practices; and how the police themselves respond to these new data-intensive practices. Although big data analytics holds potential to reduce bias and increase efficiency, Brayne argues that it also reproduces and deepens existing patterns of social inequality, threatens privacy, and challenges civil liberties. A groundbreaking examination of the growing role of the private sector in public policing, this book challenges the way we think about the data-heavy supervision law enforcement increasingly imposes upon civilians in the name of objectivity, efficiency, and public safety |
| Notes |
Vendor-supplied metadata |
| Subject |
Los Angeles (Calif.). Police Department.
|
| SUBJECT |
Los Angeles (Calif.). Police Department fast |
| Subject |
Police -- Data processing
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Crime analysis -- Data processing
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Crime forecasting -- Statistical methods
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Criminal behavior, Prediction of -- Statistical methods
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Big data -- Social aspects
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Big data -- Social aspects
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Crime analysis -- Data processing
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Criminal behavior, Prediction of -- Statistical methods
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Police -- Data processing
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| Form |
Electronic book
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| ISBN |
9780190684112 |
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0190684119 |
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