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AI's Impact On Copyright Law In The Relation To AI-Generated Content


Eshita Laddha, BBA LLB, SLS Nagpur


ABSTRACT


The advancement of Artificial Intelligence (AI) has led to revolutionization of content creation in digital era. The integration of AI in content generation has led to a paradigm shift in Copyright law, thereby challenging the traditional notions of authorship, ownership, and originality. This research paper tries to examine the complexities and problems arising out of AI generated work with Copyright law, by mainly focusing on issues of authorship and ownership. This papers also provides a distinction between derivative and original works. The main focus of this paper is to understand the evolving nature of Copyright law in relation to AI.

Further this paper examines key legal principles such as India “Sweat of the Brow” and "Modicum of Creativity" doctrines, ethical considerations, and duration of Copyright protection, considering application to AI-generated works. This paper highlights the importance of establishing a new legal framework and guidelines for governing Copyright related issue in AI generated work with an aim to foster innovation and creativity. It has emphasised on striking for a balance between innovation and protection of rights of creators, with a need for collaborative efforts among policy makers and other stakeholders. This paper underlines the importance for establishment of clear legal standards and ethical norms to ensure equitable treatment and responsible use of AI-generated work.


Keywords: Artificial Intelligence, Copyright Act, AI generated content, Creativity and Ownership.



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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