This incisive Handbook offers novel theoretical and doctrinal insights alongside practical guidance on some of the most challenging issues in the field of artificial intelligence and intellectual property. Featuring all original contributions from a diverse group of international thought leaders, including top academics, judges, regulators and eminent practitioners, it offers timely perspectives and research on the relationship of AI to copyright, trademark, design, patent and trade secret law.

This Handbook provides a scholarly and comprehensive account of the multiple converging challenges that digital technologies present for intellectual property (IP) rights, from the perspectives of international, EU and US law. Despite the fast-moving nature of digital technology, this Handbook provides profound reflections on the underlying normative legal dilemmas, identifying future problems and suggesting how digital IP issues should be dealt with in the future.

The field of artificial intelligence (AI) has made tremendous advances in the last two decades, but as smart as AI is now, it is getting smarter and becoming more autonomous. This raises a host of challenges to current legal doctrine, including whether AI/algorithms should count as ‘speech’, whether AI should be regulated under antitrust and criminal law statutes, and whether AI should be considered as an agent under agency law or be held responsible for injuries under tort law. This book contains chapters from US and international law scholars on the role of law in an age of increasingly smart AI, addressing these and other issues that are critical to the evolution of the field.

Written by leading experts from across the world, this Handbook expertly places intellectual property issues in technology transfer into their historical and political context whilst also exploring and framing the development of these intersecting domains for innovative universities in the present and the future.

This thoroughly updated Research Handbook examines the recent exponential growth of data use in society and its implications for legal research and practice. It explores contemporary research in the field of data science, as well as the operationalization of data for use in healthcare, urban governance and smart household devices, among others.

The technology and application of artificial intelligence (AI) throughout society continues to grow at unprecedented rates, which raises numerous legal questions that to date have been largely unexamined. Although AI now plays a role in almost all areas of society, the need for a better understanding of its impact, from legal and ethical perspectives, is pressing, and regulatory proposals are urgently needed. This book responds to these needs, identifying the issues raised by AI and providing practical recommendations for regulatory, technical, and theoretical frameworks aimed at making AI compatible with existing legal rules, principles, and democratic values. An international roster of authors including professors of specialized areas of law, technologists, and practitioners bring their expertise to the interdisciplinary nature of AI.

This forward-looking book examines the issue of intellectual property (IP) law reform, considering both the reform of primary IP rights, and the impact of secondary rights on such reforms. It reflects on the distinction between primary and secondary rights, offering new international perspectives on IP reform, and exploring both the intended and unintended consequences of changing primary rights or adding secondary rights.