An exploration of the current state of global trade law in the era of Big Data and AI. This title is also available as Open Access on Cambridge Core.

Governing Cross-Border Data Flows explores how the European Union can simultaneously reconcile and pursue two important legal and policy objectives, namely: protecting fundamental rights guaranteed under the EU Charter of Fundamental Rights (EU Charter) concerning privacy and personal data, while also maintaining and developing a binding, rules-based global trading system to ensure appropriate access to foreign digital markets for EU businesses. The book demonstrates a significant conflict between international trade law and European data privacy law when it comes to the governance of cross-border flows of personal data. To resolve the tensions caused by this clash, the book proposes concrete and detailed ways to ameliorate the situation from both ends (international trade and personal data protection), specifically through reforms of both international trade and chapter V of the General Data Protection Regulation (GDPR). To explain how such reforms could be effectuated, Yakovleva examines the role of discourse in the evolution of trade law in the last two decades. The book also paves the way for the further research necessary to design a fully-fledged reform proposal of the EU framework for the transfer of personal data outside the European Economic Area.

This timely book examines crucial developments in the field of privacy law, efforts by legal systems to impose their data protection standards beyond their borders and claims by states to assert sovereignty over data. By bringing together renowned international privacy experts from the EU and the US, the book provides an accurate analysis of key trends and prospects in the transatlantic context, including spaces of tensions and cooperation between the EU and the US in the field of data protection law. The chapters explore recent legal and policy developments both in the private and law enforcement sectors, including recent rulings by the Court of Justice of the EU dealing with Google and Facebook, recent legislative initiatives in the EU and the US such as the CLOUD Act and the e-evidence proposal, as well as ongoing efforts to strike a transatlantic deal in the field of data sharing. All of the topics are thoroughly examined and presented in an accessible way that will appeal to scholars in the fields of law, political science and international relations, as well as to a wider and non-specialist audience. The book is an essential guide to understanding contemporary challenges to data protection across the Atlantic.

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.

The ongoing economic and financial digitalization is making individual data a key input and source of value for companies across sectors, from bigtechs and pharmaceuticals to manufacturers and financial services providers. Data on human behavior and choices—our “likes,” purchase patterns, locations, social activities, biometrics, and financing choices—are being generated, collected, stored, and processed at an unprecedented scale.