AI, data and private law: Translating theory into practice

• Main Authors: CHAN, Gary Kok Yew, YIP, Man
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Artificial Intelligence; Data; Private Law; Science and Technology Law
• Online Access: https://ink.library.smu.edu.sg/sol_research/3472; https://search.library.smu.edu.sg/discovery/fulldisplay?docid=alma99481301102601&context=L&vid=65SMU_INST:SMU_NUI&lang=en&search_scope=Everything&adaptor=Local%20Search%20Engine&tab=Everything&query=any,contains,AI,%20data%20and%20private%20law:%20Translating%20theory%20into%20practice&offset=0
• Institution: Singapore Management University

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.