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 in light of their differing circumstances, challenges and national interests.
1. AI, Data and Private Law: The Theory-Practice Interface (Gary Chan Kok Yew and Man Yip)
2. How to De-identify Personal Data in Korea: An Evolutionary Tale (Haksoo Ko and Sangchul Park)
3. Data Trusts for Lawful AI Data Sharing (Chris Reed)
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)
5. Personal Data as a Proprietary Resource (Pey Woan Lee)
6. Transplanting the Concept of Information Fiduciary? (Man Yip)
7. Regulating Autonomous Vehicles: Liability Paradigms and Value Choices (Chen Siyuan)
8. Medical Artificial Intelligence, Standard of Care in Negligence and Tort Law (Gary Chan Kok Yew)
9. Contractual Consent in the Age of Machine Learning (Goh Yihan)
10. Digital Assets: Balancing Liquidity with Other Considerations (Gal Acrich, Katia Litvak, On Dvori, Ophir Samuelov and Dov Greenbaum)
11. Blockchain in Land Administration? Overlooked Details in Translating Theory into Practice (Alvin W-L See)
Gary Chan Kok Yew and Man Yip (eds), AI, Data and Private Law – Translating Theory into Practice, Hart Publishing, October 2021, 9781509946839. 304pp. RRP: £90 / $120. Order online at www.bloomsbury.com – use the code UG8 for UK orders and HARTUS20 for US orders to get 20% off – discount Price: £72 / $96.
First posted 2021-12-08 13:10:38
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