John McDaniel

Ken Pease

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

Kate Moss

This book explores the relationship between policing and mental health. Police services around the world are innovating at pace in order to develop solutions to the problems presented, and popular models are being shared internationally. Nevertheless, disparities and perceptions of unfairness remain commonplace. Innovations remain poorly funded and largely unproven. Drawing together the insights of eminent academics in the UK, the US, Australia and South Africa, the edited collection evaluates the condition of mental health and policing as an interlocked policy area, uncovering and addressing a number of key issues which are shaping police responses to mental health. Due to a relative lack of academic texts pertaining to developments in England and Wales, the volume contains a distinct section on relevant policies and practices. It also includes sections on US and Australian approaches, focusing on Crisis Intervention Teams (CITs), Mental Health Intervention Teams (MHITs), stressors and innovations from Boston in the US to Queensland in Australia. Written in a clear and direct style, this book will appeal to students and scholars in policing, criminology, sociology, mental health, cultural studies, social theory and those interested in learning about the condition and trajectory of police responses to mental health. Foreword written by Professor Maurice Punch.

John McDaniel

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