Handbook on the Politics and Governance of Big Data and Artificial Intelligence

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Handbook on the Politics and Governance of Big Data and Artificial Intelligence

9781800887367 Edward Elgar Publishing
Edited by Andrej Zwitter,Professor of Governance and Innovation and Dean of Faculty Campus Fryslân and Oskar Gstrein, Programme Director of BSc Data Science and Society and Assistant Professor of Governance and Innovation, University of Groningen, the Netherlands
Publication Date: June 2023 ISBN: 978 1 80088 736 7 Extent: c 400 pp
Drawing on the theoretical debates, practical applications, and sectoral approaches in the field, this ground-breaking Handbook unpacks the political and regulatory developments in AI and big data governance. Covering the political implications of big data and AI on international relations, as well as emerging initiatives for legal regulation, it provides an accessible overview of ongoing data science discourses in politics, law and governance.

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Drawing on the theoretical debates, practical applications, and sectoral approaches in the field, this ground-breaking Handbook unpacks the political and regulatory developments in AI and big data governance. Covering the political implications of big data and AI on international relations, as well as emerging initiatives for legal regulation, it provides an accessible overview of ongoing data science discourses in politics, law and governance.

With novel insights into existing and emerging debates, this cutting-edge Handbook highlights the mutual effects of big data and AI on society. Amongst other theoretical and sectoral issues, chapters analyse the liability of AI use in autonomous weapons, the role of big data in healthcare and education, the intersections between AI and gender in human rights law, and the ethics of public facial-recognition technology. Addressing the many open questions and future regulatory problems, it uses data science to investigate the dynamics between the technical aspects, societal dynamics and governance implications of big data and AI.

Transdisciplinary in scope, this Handbook will be invaluable to students and researchers across the fields of politics, law, governance and data science, alongside policymakers concerned with the regulation and governance of AI and big data in public and private institutions.
Critical Acclaim
‘Zwitter and Gstrein have astutely brought together an impressive collection of chapters that address key themes in the politics and governance of AI and Big Data. From social justice and gender to privacy and rights, the handbook provides a solid introduction to key debates and their implications for societies.’
– Evelyn Ruppert, Goldsmiths, University of London, UK

‘This volume succeeds in bringing together a wide ranging collection of original studies in a field that is as fast developing as it is important to keep track of. The reader who is interested in normative political and governance perspectives on AI and Big Data will find insightful analyses and well-informed discussions of the key problems of regulation and policy making in a digital age.’
– Jeroen van den Hoven, Delft University of Technology, the Netherlands
Contributors
Contributors include: Halefom Abraha, Javier Argota Sánchez-Vaquerizo, Taís Fernanda Blauth, Malcolm Campbell-Verduyn, Daniel Feitosa, Nikolaus Forgó, Joshua C. Gellers, Oskar Josef Gstrein, David J. Gunkel, Amelia Hadfield, Dirk Helbing, Catherine Jasserand, Christopher K. Lamont, Alex Leveringhaus, Eko Rahmadian, Elisabeth Steindl, Linnet Taylor, Nynke E. Vellinga, Andrej Zwitter
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