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AI-Generated Work And Copyright Protection: Exploring The Landscape Of Protection Available In The USA, The EU, India And China

Apr 30
1 min read



Shivang Tandon, Faculty of Law, University of Lucknow


ABSTRACT


Originality and authorship have always remained the premise of copyright protection. However, these traditional notions have been challenged by the AI-generated output, as it involves no or minimal human intervention. AI- generated works challenge this foundation by enabling machines to autonomously produce content ranging from literature to visual art. The outcome solely depends upon the prompt given. This raises the issue of copyright protection of the AI-generated content.


Divergent views seem to appear from different jurisdictions, where few are of the opinion that AI should be granted the ownership right, while others believe that AI shouldn’t be given ownership. Thereby, it becomes imperative to delve into this debate and find a solution. Rapid progress has been made in the jurisdiction of the United States, the European Union, India and China. The divergent views taken by the Chinese courts are also of the utmost importance. There appears to be an urgent need for international harmonisation by the World Intellectual Property Organisation (WIPO), including differentiating AI-assisted works from fully autonomous AI- generated work in contemporary times. It is also necessary for policymakers to suggest a legal framework that ensures all stakeholders are fairly compensated.


Keywords: Artificial Intelligence, Originality, Authorship, Copyright Protection and WIPO.



Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

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The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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