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Whose Work Is It: The Authorship Crisis In Indian Copyright Law And AI




Raveen Kumar R, Sathyabama Institute of Science and Technology

Frankincense Sam Singh, Sathyabama Institute of Science and Technology

M. Murali Sai Ram, Sathyabama Institute of Science and Technology


ABSTRACT


With the evolution of Artificial Intelligence, copyright law faces a greater threat, one that questions the very concept of authorship itself. It raises doubts about the credibility of human intervention in works created using Artificial Intelligence. While many jurisdictions have passed orders and judgments on similar subject matters, there is no unanimous global consensus. This lack of agreement creates confusion, especially in the acceptance and recognition of copyright registrations across borders. It also opens up new interpretations regarding the concept of computer-generated works in copyright law. Such legislative gaps pose challenges for artists who use Artificial Intelligence in their creations, calling into question their creativity and methods of creation. This paper presents a comparative analysis of legal principles in various nations such as the EU, USA, and Japan, which have played significant roles in the global AI market. It aims to explore where Indian copyright law currently stands, the gaps it holds in recognising AI-generated works, and whether the present legal framework is capable of adapting to the technological shift that challenges the very definition of authorship.



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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Licensing: 

 

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.

 

Disclaimer:

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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