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Authorship And Ownership Of AI-Generated Works: A Comparative Analysis Of Copyright Law In India And The United Kingdom




Tanishka Yadav, Jayshree Periwal High School, Jaipur, Rajasthan, India


ABSTRACT


This paper explores the growing challenges that artificial intelligence (AI) brings to copyright law, especially in determining authorship and ownership of creative works. It focuses on the legal frameworks in India and the United Kingdom, highlighting how existing laws largely built around human creativity, struggle to address content generated with the help of AI. Through a comparative analysis of key legal provisions and landmark cases, the paper identifies important gaps and inconsistencies between the two jurisdictions, particularly in how they define authorship and allocate rights. To address these issues, the paper proposes a “spectrum of contribution” model, which evaluates the level of human involvement in AI-assisted works and assigns rights accordingly. This approach moves beyond the traditional binary of human versus machine, offering a more flexible and practical way to recognize collaborative creativity.


The paper also examines ethical concerns, such as lack of transparency in AI training data and risks to personality and moral rights. It argues for clearer policies and greater accountability in the use of AI. Ultimately, the study calls for more balanced and harmonized legal standards that can support innovation while ensuring fairness and responsibility in the digital age.


Keywords: AI-generated works, Copyright law, Intellectual property law, AI regulation, Ownership rights.



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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