Artificial Intelligence and Intellectual Property, edited by Jyh-An Lee, Reto M. Hilty, and Kung-Chung Liu, is a comprehensive examination of the intersection between AI technology and intellectual property (IP) law. Published by Oxford University Press in 2021, this volume addresses the multifaceted challenges and implications that AI introduces to the IP landscape.
Key Areas Covered:
AI Technology and Business Implications: The book begins with an exploration of AI's technical foundations and its transformative impact on various industries, setting the stage for subsequent legal discussions.
Patent Law: It delves into issues such as the patentability of AI-generated inventions and the evolving standards of inventiveness in the context of AI advancements.
Copyright Law: The editors examine the complexities surrounding authorship and originality when works are created by or with the assistance of AI systems.
IP Administration: The text discusses how AI is reshaping IP administrative processes, including patent examination and trademark assessment.
Software and Data Protection: It addresses the legal aspects of software developed through AI and the protection of data used in AI training and operations.
Socio-Economic Impact: The book considers the broader social and economic effects of AI on innovation policy and the potential need for legal reforms.
This scholarly work serves as a valuable resource for legal professionals, policymakers, and academics seeking to understand and navigate the evolving relationship between AI and IP law. It offers insights into current debates and proposes frameworks for addressing the legal challenges posed by AI technologies.