Policing and Intelligence in the Global Big Data Era, Volume I: New Global Perspectives on Algorithmic Governance
Editors:
Policing and Intelligence in the Global Big Data Era, Volume I: New Global Perspectives on Algorithmic Governance, the first of a two volume set, presents 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. Centered around the notion of ‘algorithmic governance’, this volume explores various practices of abstract and intelligence-led policing within the context of surveillance and regulatory capitalism. Each chapter interrogates these concepts as much as realities on the ground as they play out across the globe – from Russia, USA, India, Brazil to Denmark, Germany and Norway. The volume offers a unique insight into the ways in which technologies and data-driven practices – from facial recognition, predictive algorithms, to generative AI – are reshaping cultures of policing both within and beyond police proper. Particular attention is paid to the simultaneous privatization and pluralization policing and intelligence and to the proliferation of new intelligence actors. Academics, students and readers interested in the fields of criminology, social anthropology, critical algorithm.
This work was supported by The Research Council of Norway project no. 313626—Algorithmic Governance and Cultures of Policing: Comparative Perspectives from Norway, India, Brazil, Russia, and South Africa (AGOPOL).
Policing and Intelligence in the Global Big Data Era, Volume II:
New Global Perspectives on the Politics and Ethics of Knowledge
Editors:
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.
This work was supported by The Research Council of Norway project no. 313626—Algorithmic Governance and Cultures of Policing: Comparative Perspectives from Norway, India, Brazil, Russia, and South Africa (AGOPOL).
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