The algorithmic society technology, power, and knowledge / edited by Marc Schuilenburg and Rik Peeters.

Other author Schuilenburg, Marc, 1971-
Other author Peeters, Rik, 1981-
Format Electronic
Publication InfoLondon ; New York : Routledge/Taylor & Francis Group, 2021.
Description1 online resource
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects

SeriesRoutledge studies in crime, security and justice
Abstract "We live in an algorithmic society. Algorithms have become the main mediator through which power is enacted in our society. This book brings together three academic fields - Public Administration, Criminal Justice and Urban Governance - into a single conceptual framework, and offers a broad cultural-political analysis, addressing critical and ethical issues of algorithms. Governments are increasingly turning towards algorithms to predict criminality, deliver public services, allocate resources, and calculate recidivism rates. Mind-boggling amounts of data regarding our daily actions are analysed to make decisions that manage, control, and nudge our behaviour in everyday life. The contributions in this book offer a broad analysis of the mechanisms and social implications of algorithmic governance. Reporting from the cutting edge of scientific research, the result is illuminating and useful for understanding the relations between algorithms and power.Topics covered include: - Algorithmic governmentality - Transparency and accountability - Fairness in criminal justice and predictive policing - Principles of good digital administration - Artificial Intelligence (AI) in the smart city This book is essential reading for students and scholars of Sociology, Criminology, Public Administration, Political Sciences, and Cultural Theory interested in the integration of algorithms into the governance of society"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher.
Issued in other formPrint version: Algorithmic society London ; New York : Routledge/Taylor & Francis Group, 2021 9780367204310
Genre/formElectronic books.
LCCN 2020034929
ISBN9780429261404 (ebook)
ISBN9780429261404 (ebook)
ISBN(hardback)

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