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Ai Data And Private Law Translating Theory Into Practice Gary Chan Kok Yew Man Yip Editors

  • SKU: BELL-50233072
Ai Data And Private Law Translating Theory Into Practice Gary Chan Kok Yew Man Yip Editors
$ 31.00 $ 45.00 (-31%)

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Ai Data And Private Law Translating Theory Into Practice Gary Chan Kok Yew Man Yip Editors instant download after payment.

Publisher: Hart Publishing
File Extension: PDF
File size: 4.79 MB
Author: Gary Chan Kok Yew; Man Yip (editors)
ISBN: 9781509946839, 9781509946860, 1509946837, 1509946861
Language: English
Year: 2021

Product desciption

Ai Data And Private Law Translating Theory Into Practice Gary Chan Kok Yew Man Yip Editors by Gary Chan Kok Yew; Man Yip (editors) 9781509946839, 9781509946860, 1509946837, 1509946861 instant download after payment.

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 the 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.
This research is supported by the National Research Foundation, Singapore under its Emerging Areas Research Projects (EARP) Funding Initiative. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not reflect the views of National Research Foundation, Singapore.

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