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Strategic Thinking in Criminal Intelligence is designed to complement the drive for more strategic planning in law enforcement crime prevention and detection. The criminal environment is one of rapid and significant change and to be effective, law enforcement is now required to make long-term predictions, anticipate broadly, and think strategically beyond tactical investigations and operational outcomes. Expanded by three chapters, this edition emphasises intelligence products, risk and threat assessments, and the unfolding complications of intelligence sharing. Expert authors drawn from intelligence agencies around the world provide a unique insight into the philosophy and practice of leading strategic criminal intelligence specialists. It is a vital resource for intelligence practitioners, crime analysts, law enforcement managers and advanced students of policing.
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.
Tradecraft is a term used within the intelligence community to describe the methods, practices, and techniques used in espionage and clandestine investigations. Whether the practitioner is a covert agent for the government or an identity thief and con man, the methods, practices, tactics, and techniques are often the same and sometimes learned from the same sources. Advanced Criminal Investigations and Intelligence Operations: Tradecraft Methods, Practices, Tactics, and Techniques reveals how intelligence officers and investigators conduct their tradecraft. You’ll learn how to plan an operation, how to build an identity and cover story for deep cover operations, and how to detect those who have created false identities for illegal purposes. You’ll also get insight into the technical aspects of intelligence (the INTs), counterintelligence, and criminal investigations, and legal considerations for conducting intelligence investigations. Topics include: A discussion of black bag operational planning HUMINT (human intelligence)—the gathering of information from human sources DAME (defenses against methods of entry), forced entry into buildings, safes and combination locks, and automobile locks PSYOPS (psychological operations) and the use of social networks ELINT (electronic intelligence) and SIGINT (signals intelligence)—electronic interception of intelligence, bugs, wiretaps, and other communications interceptions EMINT (emanations intelligence), which concerns the emanation of data, signals, or other intelligence from C4I systems IMINT (imagery intelligence), involving any intelligence gathered using images Intelligence files and analytical methods Based upon the author’s training and experience over more than three decades as a law enforcement investigator and military officer, as well as research conducted as an attorney and in academia, the book provides you with an insider perspective on sensitive covert and overt operations and sources. Supplemented with roughly 140 illustrations and photos, this collection of special skills and reference materials is essential to the professional investigator and intelligence operative.
In 2004, the Government Accountability Office provided a report detailing approximately 200 government-based data-mining projects. While there is comfort in knowing that there are many effective systems, that comfort isn‘t worth much unless we can determine that these systems are being effectively and responsibly employed.Written by one of the most
This book explains how improvements in intelligence analysis can bene!t policing. Written by experts with experience in police higher education and professional practice, this accessible text provides students with both practical knowledge and a critical understanding of the subject. The book is divided into three key parts: Part One outlines how the concept of intelligence was initially embraced and implemented by the police and provides a critique of intelligence sources. It examines the strategic use of intelligence and its procedural framework. It provides a summary of the role of the intelligence analyst, establishing the characteristics of effective practitioners. Part Two describes good practice and explains the practical tools and techniques that effective analysts use in the reduction and investigation of crime. Part Three examines more recent developments in intelligence analysis and looks to the future. This includes the move to multi-agency working, the advent of big data and the role of AI and machine learning. Filled with case studies and practical examples, this book is essential reading for all undergraduates and postgraduates taking courses in Professional Policing, and Criminal Justice more widely. It will also be of interest to existing practitioners in this field.
What is intelligence-led policing? Who came up with the idea? Where did it come from? How does it relate to other policing paradigms? What distinguishes an intelligence-led approach to crime reduction? How is it designed to have an impact on crime? Does it prevent crime? What is crime disruption? Is intelligence-led policing just for the police? These are questions asked by many police professionals, including senior officers, analysts and operational staff. Similar questions are also posed by students of policing who have witnessed the rapid emergence of intelligence-led policing from its British origins to a worldwide movement. These questions are also relevant to crime prevention practitioners and policymakers seeking long-term crime benefits. The answers to these questions are the subject of this book. This book brings the concepts, processes and practice of intelligence-led policing into focus, so that students, practitioners and scholars of policing, criminal intelligence and crime analysis can better understand the evolving theoretical and empirical dynamics of this rapidly growing paradigm. The first book of its kind, enhanced by viewpoint contributions from intelligence experts and case studies of police operations, provides a much-needed and timely in-depth synopsis of this emerging movement in a practical and accessible style.
The first book to develop standards for the criminal liability of artificial intelligence technologies
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.
"This study provides some of the first empirical information about the self-reported crimes of adults with genius-level IQ scores. The study combines quantitative data about 72 different offenses with qualitative data from 44 follow-up interviews to describe nine different types of offending: violent crime, property crime, sex crime, drug crime, white-collar crime, professional misconduct, vehicular crime, justice system crime, and miscellaneous crime"--Provided by publisher.
Tradecraft is a term used within the intelligence community to describe the methods, practices, and techniques used in espionage and clandestine investigations. Whether the practitioner is a covert agent for the government or an identity thief and con man, the methods, practices, tactics, and techniques are often the same and sometimes learned from