Recreating Creativity Reinventing Inventiveness
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Recreating Creativity, Reinventing Inventiveness
As artificial intelligence (AI) is increasingly used to generate inventions and creative works, a critical question to be addressed is whether intellectual property (IP) laws should protect such works. This book examines the critical question of whether intellectual property laws should protect works generated by artificial intelligence. If we do not wish to use IP laws to protect such works, how can we still support research, development, and innovation in society? If we do wish to use IP laws to protect such works, should the copyright, patents, and other IP rights attach to the human creator of the AI technology or the AI system? The book explores these compelling societal, economic, and legal issues. The authors evaluate the continuing relevance of existing laws, explore the divergent approaches being debated by nations around the world, and present visions for change. The book will enable both lawyers and non-lawyers to reimagine governance frameworks to create laws that equitably balance the interests of creators, investors, and end users of AI-generated works.
A Research Agenda for EU Copyright Law
Author: Enrico Bonadio
language: en
Publisher: Edward Elgar Publishing
Release Date: 2025-03-12
This Research Agenda provides fresh insights into fundamental issues within EU copyright law. Expert authors highlight recent trends in the scholarship and discuss the challenges posed by novel technologies such as AI and NFTs. They expand on the need to update the law to adapt to change and present innovative analyses of various strategies to influence EU copyright policies.
Liabilities and Modern Artificial Intelligence
Author: Estelle Wallingford
language: en
Publisher: Taylor & Francis
Release Date: 2025-09-09
This book addresses how private law liability should be assigned in contexts where modern forms of AI are deployed. AI as a technology holds the potential to radically improve global society, yet the pace of its advancement far outstrips the pace at which legal systems are responding. This book explores legal approaches to AI, how AI should be legally characterised, and proposes an overarching theoretical liability framework termed the Tri-Phase AI Liability Model. This framework is flexible in nature and considers the type of AI, the context in which it is deployed, who has the most control over the AI system and the capacity of a deployed AI. In response, this book brings greatly needed clarity to the evolving landscape of AI governance, aiding in resolving existing and emerging private law challenges. This book is a timely response to the urgent need to resolve private law liabilities and will appeal to legal professionals, policy makers, and scholars looking to understand or contribute to the current and future governance of AI within private law.