This volume, the second of a two volume set, offers a rich and unique collection of global perspectives on data-driven predictive technologies and the expansion and use of surveillance apparatuses in policing and intelligence, both public and private. Volume II delves into the epistemologies of data, into the imaginaries of accuracy, and fantasies of technosolutionism, utilizing empirical case studies to interrogate the use of data in policing, while raising questions pertaining to governance, ethics and knowledge construction. The chapters span from exploring the construction of clean and dirty data in private and public policing in South Africa, discussions about facial recognition and technopolitics in Brazil, the construction of intelligence and organizational learning in Norwegian police ethics and broader questions of transparency, data quality, and trust in data-driven policing, to the very topical issues of policing of generative AI and the ways in which both authoritarian and liberal democracies, such as China and India, use biopolitics to turn social welfare into surveillance. Academics and students of criminology, social anthropology, critical algorithm studies, critical sociology, and regional studies, will find this timely volume of interest.
Mục lục
Chapter 1. Introduction to Volume II: Interrogating Cultures of Policing and Intelligence in the Big Data Era (Helene Oppen Ingebrigtsen Gundhus, Christin Thea Wathne, Tereza Østbø Kuldova).- Chapter 2. Data Quality in Police Work (Matthias Leese).- Chapter 3. Dirty versus Clean Data: The Politics of Data-driven Policing in South Africa (Tessa Diphoorn).- Chapter 4. Laboratories of Biometric (In)Security: Facial Recognition Technologies and Surveillance Practices in Brazil (Daniel Edler Duarte).- Chapter 5. Algorithmic Policing: The Case of Chinese Covid-19 Management (Lingxiao Zhou).-Chapter 6. Norwegian Police as a Learning Organization in the Age of Data-driven Intelligence?(Helene Oppen Ingebrigtsen Gundhus, Christin Thea Wathne).- Chapter 7. The Risks of Data Litter in Contemporary Policing Cultures: Interrogating Data Sharing between Humanitarian NGOs and the Public Security Agencies (Veronika Nagy).- Chapter 8. Black Box Algorithmic Decision-Making and Transparency Challenges in Policing Practice: Lessons from Implementation of New Technologies by the Toronto Police Service (Ushnish Sengupta).- Chapter 9. Artificial Intelligence and Moral Responsibility in Law Enforcement (Jens Erik Paulsen).- Chapter 10. Rage Against the Machine: Automated Policing of Generative AI (Ignas Kalpokas, Julija Kalpokienė, Vaiva Šalaševičiūtė).- Chapter 11. Biometric (Data) Governance and Digital Surveillance: A Comparative Analysis of Bio-Politics in India and China (Gurram Ashok).
Giới thiệu về tác giả
Tereza Østbø Kuldova is a social anthropologist and Research Professor at Oslo Metropolitan University, Norway. She is the author of, among others, Luxury and Corruption: Challenging the Anti-Corruption Consensus (co-authored with Jardar Østbø and Thomas Raymen, Bristol University Press, 2024), Compliance-Industrial Complex: The Operating System of a Pre-Crime Society (Palgrave, 2022), and How Outlaws Win Friends and Influence People (Palgrave, 2019).
Helene O. I. Gundhus is Professor of Criminology at the University of Oslo, Norway, and Professor II at the Norwegian Police University College. She has published on issues to do with police methods and technology, police professionalism, crime prevention, risk assessments, migration control and transnational policing.
Christin Thea Wathne is Research Director and Research Professor at Oslo Metropolitan University, Norway. Her research interests include leadership and management, New Public Management, organizational development, organizational learning, professions, social identity and working environment and mastering.
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