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AI And Copyright In India: Rethinking Authorship In The Digital Age




Pari Gupta, Vivekananda Institute of Professional Studies


“Creativity is part of human nature. It can only be untaught.”

- Ai Weiwei'


ABSTRACT


Human creativity, with its inherent originality, emotional depth, and personal touch has historically been the basis of copyright law. However, now that generative Artificial Intelligence (AI) with an ability to generate literature, music, and visual art based on minimal human prompts, AI is forcing us to rethink our assumptions about authorship. AI and its products challenge the essential principle stated above because copyright is meant to acknowledge and protect human creative work.


In India, the Copyright Act of 1957 provides protection for computer- generated works, as outlined in Section 2(d)(vi).This section attributes the authorship to "the person who causes the work to be created”. Although this was quite forward-thinking at the time it was introduced, it was conceived during an era when automation was still in its infancy. This article employs a doctrinal research methodology and qualitative content analysis to examine laws, court cases, and policy discussions in India.


Keywords: AI-generated works; Copyright Act 1957; Computer-generated works; Significant Human Input; Training Data; Indian Copyright Law.



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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