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AI And Authorship Debate From A Copyright Perspective




Vineet Bidhuri, LL.M., Hidayatullah National Law University


ABSTRACT


The rapid growth of artificial intelligence has deeply impacted the lives of artists and creators. For instance, the creation of texts, images, music, and other works of art by artificial intelligence systems raises relevant and important legal questions regarding authorship and ownership in the context of existing copyright laws. This paper aims to study the changing dynamics between artificial intelligence and copyright laws, with specific reference to the Indian legal system. It discusses the concept of ‘author’ in the Copyright Act, 1957, and assess the feasibility of incorporating artificial intelligence works within the existing copyright laws. Additionally, it sheds light on the complexity associated with the question of authorship in AI-generated works. It also highlights various stakeholders involved in the creation of AI- generated works, including authors, developers, users, and data providers, in relation to the claims of authorship over AI-generated works. It further discusses various contemporary legal issues associated with AI-generated works, including training data, copyright infringement, and personality rights. Finally, the paper tries to recommend an effective balance between human creativity and artificial intelligence in contemporary times. It is apparent that the existing Indian copyright laws do not address the issues relating to AI-generated works. Therefore, it is important that an effective balance between human creativity and artificial intelligence is achieved.



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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