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Regulatory Insights on Artificial Intelligence

Research for Policy

9781800880771 Edward Elgar Publishing
Edited by Mark Findlay, Professorial Research Fellow and Director, Centre for Artificial Intelligence and Data Governance, Singapore Management University, Singapore, Jolyon Ford, Professor and Associate Dean, ANU College of Law, Australian National University, Australia, Josephine Seah, Doctoral Candidate, University of Cambridge, Affiliate, CAIDG, Singapore Management University, Singapore and Dilan Thampapillai, Associate Professor and Education Director, Centre for Social Impact, University of New South Wales, Australia
Publication Date: May 2022 ISBN: 978 1 80088 077 1 Extent: c 264 pp
This provocative book investigates the relationship between law and artificial intelligence (AI) governance, and the need for new and innovative approaches to regulating AI and big data in ways that go beyond market concerns alone and look to sustainability and social good.

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This provocative book investigates the relationship between law and artificial intelligence (AI) governance, and the need for new and innovative approaches to regulating AI and big data in ways that go beyond market concerns alone and look to sustainability and social good.
 
Taking a multidisciplinary approach, the contributors demonstrate the interplay between various research methods, and policy motivations, to show that law-based regulation and governance of AI is vital to efforts at ensuring justice, trust in administrative and contractual processes, and inclusive social cohesion in our increasingly technologically-driven societies. The book provides valuable insights on the new challenges posed by a rapid reliance on AI and big data, from data protection regimes around sensitive personal data, to blockchain and smart contracts, platform data reuse, IP rights and limitations, and many other crucial concerns for law’s interventions. The book also engages with concerns about the ‘surveillance society’, for example regarding contact tracing technology used during the Covid-19 pandemic.
 
The analytical approach provided will make this an excellent resource for scholars and educators, legal practitioners (from constitutional law to contract law) and policy makers within regulation and governance. The empirical case studies will also be of great interest to scholars of technology law and public policy. The regulatory community will find this collection offers an influential case for law’s relevance in giving institutional enforceability to ethics and principled design.
Critical Acclaim
‘Regulatory Insights on Artificial Intelligence provides a timely and important discussion of the regulation of a technology that is not only proliferating into our lives, but becoming disruptive in our economic and social institutions. I highly recommend the book for legal scholars, regulators, and anyone interested in a comprehensive text on the topic.’
– Woodrow Barfield, Visiting Professor, University of Turin, Italy

‘This book is an excellent resource for aiding the discussion on the imminent need for effective regulation, informed by interdisciplinary and multi-stakeholder approaches, that AI governance requires. It is a must read for those interested in the “next steps” to actually implementing or codifying AI governance into existing legal contexts.’
– Christoph Lütge, Technical University of Munich, Germany
Contributors
Contributors include: Nadja M. Alexander, Will Bateman, Damian Clifford, Mark Findlay, Jolyon Ford, Henry Gao, Ong Ee Ing, Loo Wee Ling, Nydia Remolina, Megan Richardson, Philippa Ryan, Josephine Seah, Dilan Thampapillai, Sally Wheeler, Normann Witzleb
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