Policing and Intelligence in the Global Big Data Era, Volume I
| Author | : Tereza Østbø Kuldova |
| Publisher | : Springer Nature |
| Total Pages | : 410 |
| Release | : |
| Genre | : |
| ISBN | : 3031683269 |
Policing And Intelligence In The Global Big Data Era Volume I
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Policing and Intelligence in the Global Big Data Era, Volume II
| Author | : Tereza Østbø Kuldova |
| Publisher | : Springer Nature |
| Total Pages | : 334 |
| Release | : |
| Genre | : |
| ISBN | : 303168298X |
The Rise of Big Data Policing
| Author | : Andrew Guthrie Ferguson |
| Publisher | : NYU Press |
| Total Pages | : 267 |
| Release | : 2019-11-15 |
| Genre | : Law |
| ISBN | : 147986997X |
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.
Understanding Police Intelligence Work
| Author | : Adrian James |
| Publisher | : Policy Press |
| Total Pages | : 188 |
| Release | : 2016-04-27 |
| Genre | : Political Science |
| ISBN | : 1447326407 |
Procedural and moral shortcomings in both child abuse cases and the long-term deployment of undercover police officers have raised questions about the effectiveness and efficacy of intelligence work, and yet intelligence work plays an ever growing role in policing. Part of a new series on evidence-based policing, this book is the first to offer a comprehensive, fully up-to-date account of how police can--and do--use intelligence, assessing the threats and opportunities presented by new digital technology, like the widespread use of social media and the emergence of "big data," and applying both a practical and an ethical lens to police intelligence activities.
Application of Big Data for National Security
| Author | : Babak Akhgar |
| Publisher | : Butterworth-Heinemann |
| Total Pages | : 317 |
| Release | : 2015-02-14 |
| Genre | : Computers |
| ISBN | : 0128019735 |
Application of Big Data for National Security provides users with state-of-the-art concepts, methods, and technologies for Big Data analytics in the fight against terrorism and crime, including a wide range of case studies and application scenarios. This book combines expertise from an international team of experts in law enforcement, national security, and law, as well as computer sciences, criminology, linguistics, and psychology, creating a unique cross-disciplinary collection of knowledge and insights into this increasingly global issue. The strategic frameworks and critical factors presented in Application of Big Data for National Security consider technical, legal, ethical, and societal impacts, but also practical considerations of Big Data system design and deployment, illustrating how data and security concerns intersect. In identifying current and future technical and operational challenges it supports law enforcement and government agencies in their operational, tactical and strategic decisions when employing Big Data for national security - Contextualizes the Big Data concept and how it relates to national security and crime detection and prevention - Presents strategic approaches for the design, adoption, and deployment of Big Data technologies in preventing terrorism and reducing crime - Includes a series of case studies and scenarios to demonstrate the application of Big Data in a national security context - Indicates future directions for Big Data as an enabler of advanced crime prevention and detection
Policing in the Era of AI and Smart Societies
| Author | : Hamid Jahankhani |
| Publisher | : Springer Nature |
| Total Pages | : 282 |
| Release | : 2020-07-17 |
| Genre | : Social Science |
| ISBN | : 3030506134 |
Chapter “Predictive Policing in 2025: A Scenario” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Privacy in the Age of Big Data
| Author | : Theresa Payton |
| Publisher | : Rowman & Littlefield |
| Total Pages | : 277 |
| Release | : 2014-01-16 |
| Genre | : Computers |
| ISBN | : 1442225467 |
Digital devices have made our busy lives a little easier and they do great things for us, too – we get just-in-time coupons, directions, and connection with loved ones while stuck on an airplane runway. Yet, these devices, though we love them, can invade our privacy in ways we are not even aware of. The digital devices send and collect data about us whenever we use them, but that data is not always safeguarded the way we assume it should be to protect our privacy. Privacy is complex and personal. Many of us do not know the full extent to which data is collected, stored, aggregated, and used. As recent revelations indicate, we are subject to a level of data collection and surveillance never before imaginable. While some of these methods may, in fact, protect us and provide us with information and services we deem to be helpful and desired, others can turn out to be insidious and over-arching. Privacy in the Age of Big Data highlights the many positive outcomes of digital surveillance and data collection while also outlining those forms of data collection to which we do not always consent, and of which we are likely unaware, as well as the dangers inherent in such surveillance and tracking. Payton and Claypoole skillfully introduce readers to the many ways we are “watched” and how to change behaviors and activities to recapture and regain more of our privacy. The authors suggest remedies from tools, to behavior changes, to speaking out to politicians to request their privacy back. Anyone who uses digital devices for any reason will want to read this book for its clear and no-nonsense approach to the world of big data and what it means for all of us.
Policing and Intelligence in the Global Big Data Era, Volume I
| Author | : Tereza Østbø Kuldova |
| Publisher | : Palgrave Macmillan |
| Total Pages | : 0 |
| Release | : 2024-11-02 |
| Genre | : Social Science |
| ISBN | : 9783031683251 |
Policing and Intelligence in the Global Big Data Era, Volume I, the first of a two volume set, presents a rich and unique collection of global perspectives on data-driven predictive technologies and the expansion and use of surveillance apparatuses in policing and intelligence, both public and private. Centered around the notion of ‘algorithmic governance’, this volume explores various practices of abstract and intelligence-led policing within the context of surveillance and regulatory capitalism. Each chapter interrogates these concepts as much as realities on the ground as they play out across the globe – from Russia, USA, India, Brazil to Denmark, Germany and Norway. The volume offers a unique insight into the ways in which technologies and data-driven practices – from facial recognition, predictive algorithms, to generative AI – are reshaping cultures of policing both within and beyond police proper. Particular attention is paid to the simultaneous privatization and pluralization policing and intelligence and to the proliferation of new intelligence actors. Academics, students and readers interested in the fields of criminology, social anthropology, critical algorithm.
Predictive Policing and Artificial Intelligence
| Author | : John McDaniel |
| Publisher | : Routledge |
| Total Pages | : 452 |
| Release | : 2021-02-25 |
| Genre | : Computers |
| ISBN | : 0429560389 |
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.
