Intellectual property law is not prepared for a world where non-humans create significant inventions, music, literature, and art. Generative artificial intelligence's ability to produce valuable properties without attributable authorship defies the theories of ownership that underlie modern intellectual property law. These authorless properties can be readily assigned ownership, however, under the more ancient rules of real and personal property. Lawmakers should rely on these common law rules in developing a new branch of intellectual property law that accommodates exclusive human ownership of AI-generated properties.This Article demonstrates how, under the contemporary American intellectual property regime, the ownership of AI-generated properties is troublingly uncertain. Because neither the artificial intelligence nor the person who entered the prompt can readily claim authorship, these properties could arguably be owned by the state, the developer of the artificial intelligence, the authors of the material on which the artificial intelligence was trained, or nobody at all. This Article shows how principles like the law of capture and the doctrine of accession can easily resolve this problem of authorship, vesting ownership in the place where it makes the most sense, promoting efficiency, fairness, and innovation. The Article addresses and rebuts the arguments against applying the rules of personal property to intellectual property. It concludes that the certain past, rather than the speculative future, offers the best foundation for assigning ownership over this new and important branch of property law.

This book represents a major new statement on the issue of property rights. It argues for the justification of some rights of private property while showing why unequal distributions of private property are indefensible.

The Future of Copyright in the Age of Artificial Intelligence offers an extensive analysis of intellectual property and authorship theories and explores the possible impact artificial intelligence (AI) might have on those theories. The author makes compelling arguments via the exploration of authorship, ownership and artificial intelligence.

This edited volume provides a broad and comprehensive picture of the intersection between Artificial Intelligence technology and Intellectual Property law, covering business and the basics of AI, the interactions between AI and patent law, copyright law, and IP administration, and the legal aspects of software and data.

Artificial Intelligence (AI) has become omnipresent in today's business environment: from chatbots to healthcare services to various ways of creating useful information. While AI has been increasingly used to optimize various creative and innovative processes, the integration of AI into products, services, and other operational procedures raises significant concerns across virtually all areas of intellectual property (IP) law. While AI has drawn extensive attention from IP experts globally, this is the first book providing a broad and comprehensive picture from the perspectives of the very nature of AI technology, its commercial implications, its interaction with different kinds of IP, IP administration, software and data, its social and economic impact on the innovation policy, and ultimately AI's eligibility as a legal entity.

Property has long played a central role in political and moral philosophy. Philosophers dealing with property have tended to follow the consensus that property has no special content but is a protean construct - a mere placeholder for theories aimed at questions of distributive justice and efficiency. Until recently there has been a relative absence of serious philosophical attention paid to the various doctrines that shape the actual law of property. If the philosophy of property is to be more attentive to concepts lying between broad considerations of political philosophy and distributive justice on the one hand and individual rules on the other, what in this broad space needs explaining, and how might we justify what we find? The papers in this volume are a first step towards filling this gap in the philosophical analysis of private law. This is achieved here by revisiting the contributions of philosophers such as Hume, Locke, Kant, and Grotius and revealing how particular doctrines illuminate the way in which property law respects the equality and autonomy of its subjects. Secondly, by exploring the central notions of possession, ownership, and title and finally by considering the very foundations of conceptualism in property.

This two-volume set constitutes the refereed proceedings of the First International Conference on Intelligent Systems and Data Science, ISDS 2023, held in Can Tho, Vietnam, in November 2023. The 35 full papers and 13 short papers presented were thoroughly reviewed and selected from 123 submissions. They are organized in the following topical sections: ​applied intelligent systems and data science for agriculture, aquaculture, and biomedicine; big data, IoT, and cloud computing; deep learning and natural language processing; intelligent systems.