Book Cover

Artificial Intelligence and International Economic Law

Contributor(s): Peng, Shin-Yi (Editor), Lin, Ching-Fu (Editor), Streinz, Thomas (Editor)

ISBN: 9781108844932

Publisher: Cambridge University Press

Hardcover
$145.00
- +
Buy

Pub Date: October 14, 2021

Dewey: 343.087

LCCN: 2021024540

Lexile Code: 0000

Features: Bibliography, Price on Product

Target Age Group: NA to NA

Physical Info: 0.81" H x 9.00" L x 6.00" W ( 1.45 lbs) 366 pages

BISAC Categories:

Law | International | Military

Descriptions, Reviews, etc.

Description: Artificial intelligence (AI) technologies are transforming economies, societies, and geopolitics. Enabled by the exponential increase of data that is collected, transmitted, and processed transnationally, these changes have important implications for international economic law (IEL). This volume examines the dynamic interplay between AI and IEL by addressing an array of critical new questions, including: How to conceptualize, categorize, and analyze AI for purposes of IEL? How is AI affecting established concepts and rubrics of IEL? Is there a need to reconfigure IEL, and if so, how? Contributors also respond to other cross-cutting issues, including digital inequality, data protection, algorithms and ethics, the regulation of AI-use cases (autonomous vehicles), and systemic shifts in e-commerce (digital trade) and industrial production (fourth industrial revolution). This title is also available as Open Access on Cambridge Core.

Brief description: Shin-yi Peng is Distinguished Professor of Law at National Tsing Hua University. She is a former Commissioner of the National Communications Commission of Taiwan and has served as Vice President of the Society of International Economic Law. Professor Peng is also a member of the Indicative List of Panelists for resolving WTO disputes.

Review Quotes: 'This book is a must-read for the AI policy community, which has been slow to reckon with the global political economy of AI. The focus on international economic law challenges the dominant conception of what counts as 'AI regulation' to expand beyond concerns of privacy and discrimination, even as it meditates on the potential limits of these regulatory approaches. As the economic drivers of AI and data regulation become increasingly explicit, this collection could not be more timely.' Amba Kak, Director of Global Policy & Programs, New York University AI Now Institute

Product successfully added to cart!