AI, Data and Private Law: Translating Theory into Practice

by Gary Chan Kok Yew (Editor), Man Yip (Editor)

Overview

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.

Product Details

ISBN-13:	9781509946822
Publisher:	Bloomsbury Academic
Publication date:	04/20/2023
Pages:	368
Product dimensions:	6.14(w) x 9.21(h) x 0.64(d)

About the Author

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.

Table of Contents

1. AI, Data and Private Law: The Theory-Practice Interface
Gary Chan Kok Yew, Singapore Management University, Singapore and Man Yip, Singapore Management University, Singapore

PART I
DATA PROTECTION, GOVERNANCE AND PRIVATE LAW

2. How to De-identify Personal Data in Korea: An Evolutionary Tale
Haksoo Ko, Seoul National University, Korea and Sangchul Park, Seoul National University, Korea

3. Data Trusts for Lawful AI Data Sharing
Chris Reed, Queen Mary University of London, UK

4. The Future of Personal Data Protection Law in Singapore: A Role for the Use of Artificial Intelligence and the Propertisation of Personal Data
Warren Chik, Singapore Management University, Singapore

5. Personal Data as a Proprietary Resource
Pey Woan Lee, Singapore Management University, Singapore

6. Transplanting the Concept of Information Fiduciary?
Man Yip, Singapore Management University, Singapore

PART II
AI, TECHNOLOGY AND PRIVATE LAW

7. Regulating Autonomous Vehicles: Liability Paradigms and Value Choices
Chen Siyuan, Singapore Management University, Singapore

8. Medical Artificial Intelligence, Standard of Care in Negligence and Tort Law
Gary Chan Kok Yew, Singapore Management University, Singapore

9. Contractual Consent in the Age of Machine Learning
Goh Yihan, Singapore Management University, Singapore

10. Digital Assets: Balancing Liquidity with Other Considerations
Gal Acrich, Katia Litvak, On Dvori, Ophir Samuelov and Dov Greenbaum, all at IDC Herzliya, Israel

11. Blockchain in Land Administration? Overlooked Details in Translating Theory into Practice
Alvin W-L See, Singapore Management University, Singapore

Editorial 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

From the Publisher