Automating Crime Prevention, Surveillance, and Military Operations (Hardcover, 1st ed. 2021)

This interdisciplinary volume critically explores how the ever-increasing use of automated systems is changing policing, criminal justice systems, and military operations at the national and international level. The book examines the ways in which automated systems are beneficial to society, while addressing the risks they represent for human rights. This book starts with a historical overview of how different types of knowledge have transformed crime control and the security domain, comparing those epistemological shifts with the current shift caused by knowledge produced with high-tech information technology tools such as big data analytics, machine learning, and artificial intelligence. The first part explores the use of automated systems, such as predictive policing and platform policing, in law enforcement. The second part analyzes the use of automated systems, such as algorithms used in sentencing and parole decisions, in courts of law. The third part examines the use and misuse of automated systems for surveillance and social control. The fourth part discusses the use of lethal (semi)autonomous weapons systems in armed conflicts. An essential read for researchers, politicians, and advocates interested in the use and potential misuse of automated systems in crime control, this diverse volume draws expertise from such fields as criminology, law, sociology, philosophy, and anthropology.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	October 2021
First published:	2021
Editors:	Ales Zavrsnik • Vasja Badalic
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	248
Edition:	1st ed. 2021
ISBN-13:	978-3-03-073275-2
Categories:	Books > Social sciences > Sociology, social studies > Crime & criminology > Causes & prevention of crime Books > Social sciences > Politics & government > Political control & freedoms > Human rights > General
LSN:	3-03-073275-4
Barcode:	9783030732752

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