Artificial Intelligence and International Economic Law

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. Ching-Fu Lin is Associate Professor at National Tsing Hua University, where he teaches artificial intelligence law and policy, international law and global governance, and law and technology. Thomas Streinz is Adjunct Professor of Law and Executive Director, Guarini Global Law and Tech at NYU School of Law. He co-convenes the Guarini Colloquium: Regulating Global Digital Corporations and co-teaches a course on Global Data Law. He is also an editor of Megaregulation Contested: Global Economic Ordering After TPP.

• Preface; 1. Artificial intelligence and international economic law: disruption, regulation, and reconfiguration Shin-Yi Peng, Ching-Fu Lin and Thomas Streinz; Part I. Systemic Shifts in the Global Economic Order: 2. Trade law in a data-driven economy: a call for modesty and resilience Gregory Shaffer; 3. Global law in the face of datafication and artificial intelligence Rolf H. Weber; 4. Trading AI: economic interests, societal choices and multilateral rules Dan Ciuriak and Vlada Rodionova; Part II. Reconceptualizing WTO Law for the Ai Economy: 5. Trade rules for industry 4.0: why the TBT agreement matters even more Aik Hoe Lim; 6. Autonomous vehicle standards under the TBT agreement: disrupting the boundaries? Shin-Yi Peng; 7. Convergence, complexity and uncertainty: AI and intellectual property protection Bryan Mercurio and Ronald Yu; 8. Are digital trade disputes 'trade disputes'? Yuka Fukunaga; Part III. Data Regulation as AI Regulation: 9. International economic law's regulation of data as a resource for the AI economy Thomas Streinz; 10. Data protection and artificial intelligence: the EU's internal approach and its promotion through trade agreements Alan Hervé; 11. Data portability in a data-driven world Frederike Zufall and Raphael Zingg; Part IV. International Economic Law Limits to AI Regulation: 12. Public moral, trade secret, and the dilemma of regulating driving automation systems Ching-Fu Lin; 13. International trade law and the data ethics: possibilities and challenges Neha Mishra; 14. Disciplining artificial intelligence policies: WTO law as a sword and a shield Kelly K. Shang and Rachel R. Du; V. Reconfiguration of International Economic Law: 15. Across the great wall: e-commerce joint statement initiative negotiation and China Henry Gao; 16. The next great global knowledge infrastructure land rush has begun: will the US or China prevail? Jane K. Winn and Yi-Shyuan Chiang; 17. Trade law architecture after the fourth industrial revolution Lisa Toohey.

'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