The Rise of Big Data Policing

The Rise of Big Data Policing
Author: Andrew G. Ferguson
Publsiher: NYU Press
Total Pages: 259
Release: 2017-10-03
Genre: Law
ISBN: 9781479892822

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Winner, 2018 Law & Legal Studies PROSE Award The consequences of big data and algorithm-driven policing and its impact on law enforcement In a high-tech command center in downtown Los Angeles, a digital map lights up with 911 calls, television monitors track breaking news stories, surveillance cameras sweep the streets, and rows of networked computers link analysts and police officers to a wealth of law enforcement intelligence. This is just a glimpse into a future where software predicts future crimes, algorithms generate virtual “most-wanted” lists, and databanks collect personal and biometric information. The Rise of Big Data Policing introduces the cutting-edge technology that is changing how the police do their jobs and shows why it is more important than ever that citizens understand the far-reaching consequences of big data surveillance as a law enforcement tool. Andrew Guthrie Ferguson reveals how these new technologies —viewed as race-neutral and objective—have been eagerly adopted by police departments hoping to distance themselves from claims of racial bias and unconstitutional practices. After a series of high-profile police shootings and federal investigations into systemic police misconduct, and in an era of law enforcement budget cutbacks, data-driven policing has been billed as a way to “turn the page” on racial bias. But behind the data are real people, and difficult questions remain about racial discrimination and the potential to distort constitutional protections. In this first book on big data policing, Ferguson offers an examination of how new technologies will alter the who, where, when and how we police. These new technologies also offer data-driven methods to improve police accountability and to remedy the underlying socio-economic risk factors that encourage crime. The Rise of Big Data Policing is a must read for anyone concerned with how technology will revolutionize law enforcement and its potential threat to the security, privacy, and constitutional rights of citizens. Read an excerpt and interview with Andrew Guthrie Ferguson in The Economist.

The Rise of Big Data Policing

The Rise of Big Data Policing
Author: Andrew Guthrie Ferguson
Publsiher: NYU Press
Total Pages: 272
Release: 2017-10-03
Genre: Law
ISBN: 9781479881475

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Winner, 2018 Law & Legal Studies PROSE Award The consequences of big data and algorithm-driven policing and its impact on law enforcement In a high-tech command center in downtown Los Angeles, a digital map lights up with 911 calls, television monitors track breaking news stories, surveillance cameras sweep the streets, and rows of networked computers link analysts and police officers to a wealth of law enforcement intelligence. This is just a glimpse into a future where software predicts future crimes, algorithms generate virtual “most-wanted” lists, and databanks collect personal and biometric information. The Rise of Big Data Policing introduces the cutting-edge technology that is changing how the police do their jobs and shows why it is more important than ever that citizens understand the far-reaching consequences of big data surveillance as a law enforcement tool. Andrew Guthrie Ferguson reveals how these new technologies —viewed as race-neutral and objective—have been eagerly adopted by police departments hoping to distance themselves from claims of racial bias and unconstitutional practices. After a series of high-profile police shootings and federal investigations into systemic police misconduct, and in an era of law enforcement budget cutbacks, data-driven policing has been billed as a way to “turn the page” on racial bias. But behind the data are real people, and difficult questions remain about racial discrimination and the potential to distort constitutional protections. In this first book on big data policing, Ferguson offers an examination of how new technologies will alter the who, where, when and how we police. These new technologies also offer data-driven methods to improve police accountability and to remedy the underlying socio-economic risk factors that encourage crime. The Rise of Big Data Policing is a must read for anyone concerned with how technology will revolutionize law enforcement and its potential threat to the security, privacy, and constitutional rights of citizens. Read an excerpt and interview with Andrew Guthrie Ferguson in The Economist.

Predict and Surveil

Predict and Surveil
Author: Sarah Brayne
Publsiher: Oxford University Press
Total Pages: 288
Release: 2020-10-01
Genre: Social Science
ISBN: 9780190684112

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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.

The Cambridge Handbook of Policing in the United States

The Cambridge Handbook of Policing in the United States
Author: Tamara Rice Lave,Eric J. Miller
Publsiher: Cambridge University Press
Total Pages: 610
Release: 2019-07-04
Genre: Law
ISBN: 9781108420556

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A comprehensive collection on police and policing, written by experts in political theory, sociology, criminology, economics, law, public health, and critical theory.

Toward a Criminology of Disaster

Toward a Criminology of Disaster
Author: Kelly Frailing,Dee Wood Harper
Publsiher: Springer
Total Pages: 224
Release: 2017-07-10
Genre: Social Science
ISBN: 9781137469144

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This book puts forward a comprehensive criminology of disaster by drawing - and building - upon existing theories which attempt to explain disaster crime. Although antisocial behaviour in disasters has long been viewed as a rarity, the authors present ample evidence that a variety of crime occurs in the wake of disaster. Frailing and Harper's explorations of property crime, interpersonal violence and fraud during disaster reveal the importance of methodological approaches to understanding these phenomena. They highlight the need for the application of social disorganization, routine activity and general strain theories of crime in the development of disaster crime prevention strategies. An accessible and detailed study, this book will have particular appeal for both students and scholars of criminology, sociology, disaster studies and emergency management.

Predictive Policing and Artificial Intelligence

Predictive Policing and Artificial Intelligence
Author: John McDaniel,Ken Pease
Publsiher: Routledge
Total Pages: 312
Release: 2021-02-26
Genre: Social Science
ISBN: 9780429560385

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This edited text draws together the insights of numerous worldwide eminent academics to evaluate the condition of predictive policing and artificial intelligence (AI) as interlocked policy areas. Predictive and AI technologies are growing in prominence and at an unprecedented rate. Powerful digital crime mapping tools are being used to identify crime hotspots in real-time, as pattern-matching and search algorithms are sorting through huge police databases populated by growing volumes of data in an eff ort to identify people liable to experience (or commit) crime, places likely to host it, and variables associated with its solvability. Facial and vehicle recognition cameras are locating criminals as they move, while police services develop strategies informed by machine learning and other kinds of predictive analytics. Many of these innovations are features of modern policing in the UK, the US and Australia, among other jurisdictions. AI promises to reduce unnecessary labour, speed up various forms of police work, encourage police forces to more efficiently apportion their resources, and enable police officers to prevent crime and protect people from a variety of future harms. However, the promises of predictive and AI technologies and innovations do not always match reality. They often have significant weaknesses, come at a considerable cost and require challenging trade- off s to be made. Focusing on the UK, the US and Australia, this book explores themes of choice architecture, decision- making, human rights, accountability and the rule of law, as well as future uses of AI and predictive technologies in various policing contexts. The text contributes to ongoing debates on the benefits and biases of predictive algorithms, big data sets, machine learning systems, and broader policing strategies and challenges. Written in a clear and direct style, this book will appeal to students and scholars of policing, criminology, crime science, sociology, computer science, cognitive psychology and all those interested in the emergence of AI as a feature of contemporary policing.

Exploring the Boundaries of Big Data

Exploring the Boundaries of Big Data
Author: Bart van der Sloot,Dennis Broeders,Erik Schrijvers
Publsiher: WRR Verkenningen
Total Pages: 286
Release: 2016
Genre: Big data
ISBN: 9462983585

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Though the exact nature and delineation of Big Data is still unclear, it seems likely that Big Data will have an enormous impact on our daily lives. 'Exploring the Boundaries of Big Data' serves as preparatory work for The Netherlands Scientific Council for Government Policy's advice to the Dutch government, which has asked the Council to address questions regarding Big Data, security and privacy. It is divided into five parts, each part engaging with a different perspective on Big Data: the technical, empirical, legal, regulatory and international perspective.

Police Power and the Video Revolution

Police Power and the Video Revolution
Author: Mary D. Fan
Publsiher: Cambridge University Press
Total Pages: 274
Release: 2019-05-09
Genre: Business & Economics
ISBN: 9781108418553

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This is the first book on the policy questions raised by two revolutions in recording the police - copwatching and police-worn body cameras. This accessible book with compelling stories and coverage of the most important debates over proof, privacy and police regulation will appeal broadly to students, laypersons, practitioners, and experts.