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Generative AI In Film And Music: Rethinking Copyright Protection In The Age Of Digital Creativity




Navanit Kumar Singh, Research Scholar, Pt. Motilal Nehru Law College, Maharaja Chhatrasal Bundelkhand University, Chhatarpur (M.P.)


ABSTRACT


Generative Artificial Intelligence (AI) has transformed artistic production globally, but its impact is particularly significant in India, where film and music industries constitute major cultural and economic sectors. From AI- generated background scores in Bollywood to deepfake songs in regional industries, India faces unique legal and ethical challenges due to gaps in its copyright regime. The Indian Copyright Act, 1957 was drafted long before the advent of machine learning and does not explicitly address AI authorship, training datasets, or synthetic media. This paper examines how generative AI challenges foundational principles of the Indian copyright system, explores Indian jurisprudence relevant to originality and authorship, discusses threats to performers’ rights, and situates India within global regulatory trends. It proposes reforms aimed at harmonizing India’s copyright law with emerging technological realities.


Keywords: Generative Artificial Intelligence, Deepfake, Copyright Protection, Film and Music Industry Regulation, Digital Creativity, AI- Generated Work.



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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