Kuldova / Wathne / Gundhus | Policing and Intelligence in the Global Big Data Era, Volume II | Buch | 978-3-031-68297-1 | sack.de

Buch, Englisch, 324 Seiten, Format (B × H): 153 mm x 216 mm, Gewicht: 553 g

Reihe: Palgrave's Critical Policing Studies

Kuldova / Wathne / Gundhus

Policing and Intelligence in the Global Big Data Era, Volume II

New Global Perspectives on the Politics and Ethics of Knowledge
2024
ISBN: 978-3-031-68297-1
Verlag: Springer Nature Switzerland

New Global Perspectives on the Politics and Ethics of Knowledge

Buch, Englisch, 324 Seiten, Format (B × H): 153 mm x 216 mm, Gewicht: 553 g

Reihe: Palgrave's Critical Policing Studies

ISBN: 978-3-031-68297-1
Verlag: Springer Nature Switzerland


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.

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Weitere Infos & Material


Chapter 1. Introduction to Volume II: Interrogating Cultures of Policing and Intelligence in the Big Data Era ).- Chapter 2. Data Quality in Police Work ().-Chapter 3. Dirty versus Clean Data: The Politics of Data-driven Policing in South Africa ().- Chapter 4. Laboratories of Biometric (In)Security: Facial Recognition Technologies and Surveillance Practices in Brazil ().- Chapter 5. Algorithmic Policing: The Case of Chinese Covid-19 Management ().-Chapter 6. Norwegian Police as a Learning Organization in the Age of Data-driven Intelligence?().- Chapter 7. The Risks of Data Litter in Contemporary Policing Cultures: Interrogating Data Sharing between Humanitarian NGOs and the Public Security Agencies ().- Chapter 8. Black Box Algorithmic Decision-Making and Transparency Challenges in Policing Practice: Lessons from Implementation of New Technologies by the Toronto Police Service ().- Chapter 9. Artificial Intelligence and Moral Responsibility in Law Enforcement ().- Chapter 10. Rage Against the Machine: Automated Policing of Generative AI ().- Chapter 11. Biometric (Data) Governance and Digital Surveillance: A Comparative Analysis of Bio-Politics in India and China ().


Tereza Østbø Kuldova is a social anthropologist and Research Professor at Oslo Metropolitan University, Norway. She is the author of, among others, (co-authored with Jardar Østbø and Thomas Raymen, Bristol University Press, 2024), (Palgrave, 2022), and (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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