Shin-yi Peng – författare

This book addresses the challenges of datafication through the lens of international economic law. We are undergoing a wave of datafication practices. If such practices simply continue to evolve without being examined and repaired along the existing path of development, the same issues will continue to accumulate and will more than likely be amplified. The unprecedented economic and social influence of big tech has served as the catalyst for the concept of 'digital sovereignty,' which is rooted in the need to safeguard regulatory autonomy in a datafied world. The current wave of data-driven innovations has placed the policy debates on digital trade and data governance into an even more challenging context. The book - whose chapters are connected by the many facets of 'data' - systematically explains how international economic law can reduce the perils of datafication instead of enhancing them. This title is part of the Flip it Open Programme and may also be available Open Access. Check our website Cambridge Core for details.

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.

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.

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.

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.

Against the backdrop of the recent trend towards mega-regional trade initiatives, this book addresses the most topical issues that lie at the intersection of law and technology. By assessing international law and the political economy, the contributing authors offer an enhanced understanding of the challenges of diverging regulatory approaches to innovation.With contributions from leading scholars in the field, this book presents a collaborative effort to map out the new dynamics shaped by scientific and technological advances and corresponding regulatory approaches. Starting with the trend of regulatory cooperation, the book focuses on prominent fields in international trade, information technology, energy, and public health. The final section reflects upon the position of intellectual property rights, a key concern in cross-border trade. This work is the first of its kind to give a timely review and assessment of the most critical challenges facing policymakers and academics in the newest wave of transformation in global trade governance.The book will appeal to academics who are researching in international economic law, technology law and policy, and political science. Practitioners and policy makers who are active in the field of international trade will also find great value in this work.Contributors include: W.-M. Choi, S.-J. Feng, M.-Z. Gao, B. Hazucha, C.-F. Lin, H.-W. Liu, C.-F. Lo, P. Mavroidis, B. Mercurio, Y. Naiki, S.-Y. Peng, S. Shadikhodjaev, R.H. Weber, M. Wu, P. Yu