The police service in England and Wales is facing major challenges in its financing, political oversight and reorganisation of its structures. Current economic conditions have created a wholly new environment whereby cost saving is permitting hitherto unthinkable changes in the style and means of delivery of policing services. In the context of these proposed changes Lord Stevens, formerly Commissioner of the Metropolitan Police Service was asked to chair an Independent Commission looking into the future of policing. The Commission has a wide ranging remit and the papers in this book offer up-to-date analysis of contemporary problems from the novel perspective of developing a reform agenda to assist the Commission. Bringing together contributions from both key academic thinkers and police professionals, this book discusses new policing paradigms, lays out a case for an evidence-based practice approach and draws attention to developing areas such as terrorism, public order and hate crime. Policing is too important to be left to politicians, as the health of a democracy may be judged by the relationship between the police and the public. The aim of this book is to question and present analyses of problems offer new ideas and propose realistically achievable solutions without being so timid as to preserve the status quo. It will be of interest to both academics and students in the fields of criminology and policing studies, as well as professionals in the policing service, NGOs and local authority organisations.

Police do not and cannot prevent crime. This alarming thesis is explored by David Bayley, one of the most prolific and internationally renowned authorities on criminal justice and policing, in Police for the Future. Providing a systematic assessment of the performance of the police institution as a whole in preventing crime, the study is based on exhaustive research, interviews, and first hand observation in five countries--Australia, Canada, Great Britain, Japan, and the United States. It analyzes what police are accomplishing in modern democratic societies, and asks whether police organizations are using their resources effectively to prevent crime. Bayley assesses the impediments to effective crime prevention, describes the most promising reforms currently being tested by the police, and analyzes the choices that modern societies have with respect to creating truly effective police forces. He concludes with a blueprint for the creation of police forces that can live up to their promise to reduce crime and enhance public safety. Written for both the general public and the specialist in criminal justice, Police for the Future offers a unique multinational perspective on one of society's most basic institutions.

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.

As communities continue to undergo rapid demographic shifts that modify their composition, culture, and collective values, police departments serving those communities must evolve accordingly in order to remain effective. The Future of Policing: A Practical Guide for Police Managers and Leaders provides concrete instruction to agencies on how to pr

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.

This book explores how predictive policing transforms police work. Police departments around the world have started to use data-driven applications to produce crime forecasts and intervene into the future through targeted prevention measures. Based on three years of field research in Germany and Switzerland, this book provides a theoretically sophisticated and empirically detailed account of how the police produce and act upon criminal futures as part of their everyday work practices. The authors argue that predictive policing must not be analyzed as an isolated technological artifact, but as part of a larger sociotechnical system that is embedded in organizational structures and occupational cultures. The book highlights how, for crime prediction software to come to matter and play a role in more efficient and targeted police work, several translation processes are needed to align human and nonhuman actors across different divisions of police work. Police work is a key function for the production and maintenance of public order, but it can also discriminate, exclude, and violate civil liberties and human rights. When criminal futures come into being in the form of algorithmically produced risk estimates, this can have wide-ranging consequences. Building on empirical findings, the book presents a number of practical recommendations for the prudent use of algorithmic analysis tools in police work that will speak to the protection of civil liberties and human rights as much as they will speak to the professional needs of police organizations. An accessible and compelling read, this book will appeal to students and scholars of criminology, sociology, and cultural studies as well as to police practitioners and civil liberties advocates, in addition to all those who are interested in how to implement reasonable forms of data-driven policing.

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.

Advances in technology and operating concepts are driving significant changes in the day-to-day operations of future police forces. This book explores potential visions of the future of policing, based on the drivers of jurisdiction, technology, and threat, and includes concrete steps for implementation. The analysis is based on a review of policing methods and theories from the 19th century to the present day.

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.

Police do not and cannot prevent crime. This alarming thesis is explored by David Bayley, one of the most prolific and internationally renowned authorities on criminal justice and policing, in Police for the Future. Providing a systematic assessment of the performance of the police institution as a whole in preventing crime, the study is based on exhaustive research, interviews, and first hand observation in five countries--Australia, Canada, Great Britain, Japan, and the United States. It analyzes what police are accomplishing in modern democratic societies, and asks whether police organizations are using their resources effectively to prevent crime. Bayley assesses the impediments to effective crime prevention, describes the most promising reforms currently being tested by the police, and analyzes the choices that modern societies have with respect to creating truly effective police forces. He concludes with a blueprint for the creation of police forces that can live up to their promise to reduce crime and enhance public safety. Written for both the general public and the specialist in criminal justice, Police for the Future offers a unique multinational perspective on one of society's most basic institutions.