AI, Data and Private Law: Translating Theory into Practice

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Description

This book examines the interconnections between artificial intelligence, data governance and private law rules with a comparative focus on selected jurisdictions in the Asia-Pacific region. The chapters discuss the myriad challenges of translating and adapting theory, doctrines and concepts to practice in the Asia-Pacific region given their differing circumstances, challenges and national interests. The contributors are legal experts from the UK, Israel, Korea, and Singapore with extensive academic and practical experience. The essays in this collection cover a wide range of topics, including data protection and governance, data trusts, information fiduciaries, medical AI, the regulation of autonomous vehicles, the use of blockchain technology in land administration, the regulation of digital assets and contract formation issues arising from AI applications. The book will be of interest to members of the judiciary, policy makers and academics who specialise in AI, data governance and/or private law or who work at the intersection of these three areas, as well as legal technologists and practising lawyers in the Asia-Pacific, the UK and the US.

Reviews

The book will be of interest to policymakers, practitioners, and academics interested in the effect of AI and technology on private law. It provides a helpful overview of contemporary technological developments and discusses the impact of technology on development of existing doctrine. It strikes a golden balance between addressing theory and doctrine, explains hot topic issues, and analyses how modern advances can position themselves in historic private law doctrine. A truly illuminating and enjoyable read. -- Tina Popa * Tort Law Review *

Author Bio

Gary Chan Kok Yew is Professor of Law and Man Yip is Associate Professor of Law and the Deputy Director of the Centre for Cross-Border Commercial Law in Asia, both at the School of Law, Singapore Management University.