From predictive policing to self-surveillance to private security, the potential uses to of big data in crime control pose serious legal and ethical challenges relating to privacy, discrimination, and the presumption of innocence. The book is about the impacts of the use of big data analytics on social and crime control and on fundamental liberties.
Drawing on research from Europe and the US, this book identifies the various ways in which law and ethics intersect with the application of big data in social and crime control, considers potential challenges to human rights and democracy and recommends regulatory solutions and best practice. This book focuses on changes in knowledge production and the manifold sites of contemporary surveillance, ranging from self-surveillance to corporate and state surveillance. It tackles the implications of big data and predictive algorithmic analytics for social justice, social equality, and social power: concepts at the very core of crime and social control.
This book will be of interest to scholars and students of criminology, sociology, politics and socio-legal studies.
Rezensionen / Stimmen
"Data science is having profound effects on public and private life. However, thanks to a combination of technical complexity, proprietary privilege, and secretive state practice, both policy makers and the public remain largely in the dark about its uses and implications. This book offers desperately needed insights into the ways that Big Data analytics are being developed and applied in the domains of law enforcement, crime control and criminal justice. Alex Zavrsnik has compiled a critically important collection of essays that shed light on the profound changes afoot in the way societies define, investigate, prosecute, and punish crime and criminality. These scholars are sounding the alarm about the major challenges that Big Data poses to civil rights and social justice, unpacking some of the ways that new systems of data analytics are undermining legal concepts and tenets that are fundamental to democratic governance. The volume covers considerable ground: how predictive policing and algorithmic sentencing exacerbate racial and class-based discrimination; how data analytics not only fails to prevent but enables financial crimes and tax evasion among economic elites; how "informed consent" morphs into "forced consent" with ubiquitous data tracking; how automated policing pushes toward total information capture; how different legal concepts of privacy have shaped the possibilities of judicial oversight of mass data collection; how international law addresses cyber-espionage; and more. It is a must-read for anyone concerned with how Big Data and predictive analytics are disrupting and destabilizing the institutions and ideals of democracy."
- Kelly Gates, Department of Communication and Science Studies Program, University of California San Diego, USA
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Maße
Höhe: 234 mm
Breite: 156 mm
Dicke: 14 mm
Gewicht
ISBN-13
978-0-367-22756-2 (9780367227562)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Ales Zavrsnik is a Senior Research Fellow at the Institute of Criminology at the Faculty of Law and Associate Professor at the Faculty of Law, University of Ljubljana, Slovenia
Herausgeber*in
University of Ljubljana, Slovenia
Foreword, Katja Franko, Part I: Introduction. 1. Big Data: What Is It and Why Does it Matter for Crime and Social Control?, Ales Zavrsnik, Part II: Automated Social Control. 2. Paradoxes of Privacy in an Era of Asymmetrical Social Control, Frank Pasquale, 3. Big Data - Big Ignorance, Renata Salecl, 4. Machines, Humans, and the Question of Control, Zoran Kanduc, Part III: Automated Policing. 5. Data Collection Without Limits: Automated Policing and the Politics of Framelessness, Mark Andrejevic, 6. Algorithmic Patrol: The Futures of Predictive Policing, Dean Wilson, Part IV: Automated Justice. 7. Algorithmic Crime Control, Ales Zavrsnik, 8. Subjectivity, Algorithms, and the Courtroom, Katja Sugman Stubbs and Mojca M. Plesnicar, Part V: Big Data Automation Limitations. 9. Judicial Oversight of the (Mass) Collection and Processing of Personal Data, Primoz Gorkic, 10. Big Data and Economic Cyber Espionage: An International Law Perspective, Marusa T. Veber and Masa Kovic Dine
