AI, data and private law: The theory-practice interface
Publication Type
Book Chapter
Version
acceptedVersion
Publication Date
10-2021
Abstract
The growing importance of artificial intelligence (AI) and big data in modern society, and the potential for their misuse as a tool for irresponsible profit call for a constructive conversation on how the law should direct the development and use of technology. This collection of chapters, drawn from the Conference on ‘AI and Commercial Law: Reimagining Trust, Governance, and Private Law Rules’, examines the interconnected themes of AI, data protection and governance, and the disruption to or innovation in private law principles. This collection makes two contributions. First, it shows that private law is a crucial sphere within which that conversation takes place. To borrow from the extra-judicial comments of Justice Cuéllar of the Supreme Court of California, private law ‘provides a kind of first-draft regulatory framework – however imperfect – for managing new technologies ranging from aviation to email’. As this collection demonstrates, private law furnishes a first-draft regulatory framework by directly applying or gently extending existing private law theory, concepts and doctrines to new technological phenomena and, more markedly at times, by creating new principles or inspiring a new regulatory concept. This is not to say that private law is superior to or replaces legislation. This collection asks that we consider more deeply the potential and limits of private law regulation of AI and data use, as well as its co-existence and interface with legislations.
Keywords
Private Law, Artificial Intelligence, Data Governance
Discipline
Asian Studies | Science and Technology Law
Research Areas
Innovation, Technology and the Law; Private Law
Publication
AI, Data and Private Law: Translating Theory into Practice
Editor
Gary Chan and Yip Man
First Page
1
Last Page
22
ISBN
9781509946839
Identifier
10.5040/9781509946860.ch-001
Publisher
Hart Publishing
City or Country
Oxford
Citation
CHAN, Gary Kok Yew and YIP, Man.
AI, data and private law: The theory-practice interface. (2021). AI, Data and Private Law: Translating Theory into Practice. 1-22.
Available at: https://ink.library.smu.edu.sg/sol_research/3436
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.5040/9781509946860.ch-001