Contemporary Artificial Art and the Law

Contemporary Artificial Art and the Law
Title Contemporary Artificial Art and the Law PDF eBook
Author Gianmaria Ajani
Publisher BRILL
Pages 90
Release 2020-09-25
Genre Art
ISBN 9004442685

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AI as an “autonomous author” urges the law to rethink authorship. Policy makers should consider a reformative conception of AI in copyright law looking at innovative theories in robot law, where new frames for a legal personhood of artificial agents are proposed.

Art, Law, Power

Art, Law, Power
Title Art, Law, Power PDF eBook
Author Lucy Finchett-Maddock
Publisher
Pages 328
Release 2020-02-28
Genre Art
ISBN 9781910761076

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A contemporary snapshot of intellectual and practical engagements with legal and artistic practices in countering power.

Research Handbook on the Law of Artificial Intelligence

Research Handbook on the Law of Artificial Intelligence
Title Research Handbook on the Law of Artificial Intelligence PDF eBook
Author Woodrow Barfield
Publisher Edward Elgar Publishing
Pages 731
Release 2018-12-28
Genre Computers
ISBN 1786439050

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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.

A Common Law Theory of Ownership for AI-Created Properties

A Common Law Theory of Ownership for AI-Created Properties
Title A Common Law Theory of Ownership for AI-Created Properties PDF eBook
Author Arjun Padmanabhan
Publisher
Pages 0
Release 2023
Genre
ISBN

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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.

Future Law

Future Law
Title Future Law PDF eBook
Author Lilian Edwards
Publisher Edinburgh University Press
Pages 408
Release 2020-02-03
Genre Law
ISBN 1474417639

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How will law, regulation and ethics govern a future of fast-changing technologies? Bringing together cutting-edge authors from academia, legal practice and the technology industry, Future Law explores and leverages the power of human imagination in understanding, critiquing and improving the legal responses to technological change. It focuses on the practical difficulties of applying law, policy and ethical structures to emergent technologies both now and in the future. It covers crucial current issues such as big data ethics, ubiquitous surveillance and the Internet of Things, and disruptive technologies such as autonomous vehicles, DIY genetics and robot agents. By using examples from popular culture such as books, films, TV and Instagram - including 'Black Mirror', 'Disney Princesses', 'Star Wars', 'Doctor Who' and 'Rick and Morty' - it brings hypothetical examples to life. And it asks where law might go next and to regulate new-phase technology such as artificial intelligence, 'smart homes' and automated emotion recognition.

Artificial Intelligence and the Media

Artificial Intelligence and the Media
Title Artificial Intelligence and the Media PDF eBook
Author Pihlajarinne, Taina
Publisher Edward Elgar Publishing
Pages 320
Release 2022-02-22
Genre Law
ISBN 1839109971

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This timely book presents a detailed analysis of the role of law and regulation in the utilisation of Artificial Intelligence (AI) in the media sector. As well as contributing to the wider discussion on law and AI, the book also digs deeper by exploring pressing issues at the intersections of AI, media, and the law. Chapters critically re-examine various rights and responsibilities from the perspectives of incentives for accountable utilisation of AI in the industry.

Artificial Intelligence: Robot Law, Policy and Ethics

Artificial Intelligence: Robot Law, Policy and Ethics
Title Artificial Intelligence: Robot Law, Policy and Ethics PDF eBook
Author Nathalie Rébé
Publisher BRILL
Pages 262
Release 2021-08-09
Genre Law
ISBN 9004458107

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In Artificial Intelligence: Robot Law, Policy and Ethics, Dr. Nathalie Rébé discusses the legal and contemporary issues in relation to creating conscious robots. This book provides an in-depth analysis of the existing regulatory tools, as well as a new comprehensive framework for regulating Strong AI.