Predictive Policing and Artificial Intelligence

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Author :
Publisher : Routledge
ISBN 13 : 0429560389
Total Pages : 452 pages
Book Rating : 4.85/5 ( download)

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Book Synopsis Predictive Policing and Artificial Intelligence by : John McDaniel

Download or read book Predictive Policing and Artificial Intelligence written by John McDaniel and published by Routledge. This book was released on 2021-02-25 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Predictive Policing and Artificial Intelligence

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Author :
Publisher : Routledge Frontiers of Crimina
ISBN 13 : 9780367210984
Total Pages : 330 pages
Book Rating : 4.83/5 ( download)

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Book Synopsis Predictive Policing and Artificial Intelligence by : John L. M. McDaniel

Download or read book Predictive Policing and Artificial Intelligence written by John L. M. McDaniel and published by Routledge Frontiers of Crimina. This book was released on 2021 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Policing in the Era of AI and Smart Societies

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Author :
Publisher : Springer Nature
ISBN 13 : 3030506134
Total Pages : 282 pages
Book Rating : 4.31/5 ( download)

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Book Synopsis Policing in the Era of AI and Smart Societies by : Hamid Jahankhani

Download or read book Policing in the Era of AI and Smart Societies written by Hamid Jahankhani and published by Springer Nature. This book was released on 2020-07-17 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter “Predictive Policing in 2025: A Scenario” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

The Rise of Big Data Policing

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Author :
Publisher : NYU Press
ISBN 13 : 147986997X
Total Pages : 267 pages
Book Rating : 4.78/5 ( download)

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Book Synopsis The Rise of Big Data Policing by : Andrew Guthrie Ferguson

Download or read book The Rise of Big Data Policing written by Andrew Guthrie Ferguson and published by NYU Press. This book was released on 2019-11-15 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Predictive Policing

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Author :
Publisher : Rand Corporation
ISBN 13 : 0833081551
Total Pages : 187 pages
Book Rating : 4.51/5 ( download)

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Book Synopsis Predictive Policing by : Walt L. Perry

Download or read book Predictive Policing written by Walt L. Perry and published by Rand Corporation. This book was released on 2013-09-23 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive policing is the use of analytical techniques to identify targets for police intervention with the goal of preventing crime, solving past crimes, or identifying potential offenders and victims. These tools are not a substitute for integrated approaches to policing, nor are they a crystal ball. This guide assesses some of the most promising technical tools and tactical approaches for acting on predictions in an effective way.

Predict and Surveil

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Author :
Publisher : Oxford University Press, USA
ISBN 13 : 0190684097
Total Pages : 225 pages
Book Rating : 4.99/5 ( download)

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Book Synopsis Predict and Surveil by : Sarah Brayne

Download or read book Predict and Surveil written by Sarah Brayne and published by Oxford University Press, USA. This book was released on 2020-10-22 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predict and Surveil offers an unprecedented, inside look at how police use big data and new surveillance technologies. Sarah Brayne conducted years of fieldwork with the LAPD--one of the largest and most technically advanced law enforcement agencies in the world-to reveal the unmet promises and very real perils of police use of data--driven surveillance and analytics.

AI in Policing

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Author :
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.51/5 ( download)

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Book Synopsis AI in Policing by : Robby Vargas

Download or read book AI in Policing written by Robby Vargas and published by Independently Published. This book was released on 2023-11-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into the revolutionary intersection of law enforcement and cutting-edge technology with "AI in Policing: The Emergence of Predictive Analytics." This illuminating book explores the transformative role of Artificial Intelligence (AI) in shaping the landscape of modern policing, specifically through the lens of predictive analytics. From crime prevention to proactive intervention, AI has swiftly become an invaluable tool for law enforcement agencies. This book navigates the ethical considerations, challenges, and unprecedented opportunities brought forth by the fusion of AI and policing. Unravel the complex web of algorithms, machine learning, and data analysis that empowers law enforcement to forecast potential criminal activity, enhancing strategic decision-making and resource allocation. Inside "AI in Policing," readers will discover: The Evolution of Predictive Analytics: Trace the evolution of predictive analytics and its integration into the fabric of modern policing, from its nascent stages to its current advanced applications. Ethical and Legal Implications: Delve into the ethical considerations and legal ramifications of implementing AI-driven predictive technologies in law enforcement, exploring the delicate balance between security and individual rights. Success Stories and Challenges: Learn from real-world case studies showcasing the successes and challenges encountered by law enforcement agencies leveraging predictive analytics, providing insights into its efficacy and limitations. This book is a comprehensive guide, designed not only for law enforcement professionals, policymakers, and technologists but also for anyone intrigued by the dynamic fusion of AI and public safety. It offers a balanced perspective on the potential, limitations, and ethical boundaries of AI applications in the realm of policing. "AI in Policing: The Emergence of Predictive Analytics" is an essential resource for understanding the profound impact of AI on the future of law enforcement, offering a thought-provoking exploration of the evolving landscape at the convergence of technology and public safety. Prepare to embark on a thought-provoking journey that unveils the possibilities and challenges of AI-driven predictive analytics in policing. Whether you're a scholar, a professional in the field, or an individual seeking insight into the technological advancements shaping our society, this book will illuminate the path forward in law enforcement's evolving landscape. Get ready to immerse yourself in the profound transformation of law enforcement through the pages of "AI in Policing: The Emergence of Predictive Analytics." Explore the future of policing and the powerful integration of AI in reshaping security strategies and crime prevention.

Constitutional Challenges in the Algorithmic Society

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Author :
Publisher : Cambridge University Press
ISBN 13 : 1108843123
Total Pages : 341 pages
Book Rating : 4.26/5 ( download)

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Book Synopsis Constitutional Challenges in the Algorithmic Society by : Hans-W. Micklitz

Download or read book Constitutional Challenges in the Algorithmic Society written by Hans-W. Micklitz and published by Cambridge University Press. This book was released on 2021-12-02 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can the law address the constitutional challenges of the algorithmic society? This volume provides possible solutions.

AI Ethics

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Publisher : MIT Press
ISBN 13 : 0262538199
Total Pages : 250 pages
Book Rating : 4.90/5 ( download)

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Book Synopsis AI Ethics by : Mark Coeckelbergh

Download or read book AI Ethics written by Mark Coeckelbergh and published by MIT Press. This book was released on 2020-04-07 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This overview of the ethical issues raised by artificial intelligence moves beyond hype and nightmare scenarios to address concrete questions—offering a compelling, necessary read for our ChatGPT era. Artificial intelligence powers Google’s search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions. Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein’s monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.

Machine Learning Risk Assessments in Criminal Justice Settings

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Author :
Publisher : Springer
ISBN 13 : 3030022722
Total Pages : 178 pages
Book Rating : 4.23/5 ( download)

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Book Synopsis Machine Learning Risk Assessments in Criminal Justice Settings by : Richard Berk

Download or read book Machine Learning Risk Assessments in Criminal Justice Settings written by Richard Berk and published by Springer. This book was released on 2018-12-13 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book puts in one place and in accessible form Richard Berk’s most recent work on forecasts of re-offending by individuals already in criminal justice custody. Using machine learning statistical procedures trained on very large datasets, an explicit introduction of the relative costs of forecasting errors as the forecasts are constructed, and an emphasis on maximizing forecasting accuracy, the author shows how his decades of research on the topic improves forecasts of risk. Criminal justice risk forecasts anticipate the future behavior of specified individuals, rather than “predictive policing” for locations in time and space, which is a very different enterprise that uses different data different data analysis tools. The audience for this book includes graduate students and researchers in the social sciences, and data analysts in criminal justice agencies. Formal mathematics is used only as necessary or in concert with more intuitive explanations.