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Artificial Intelligence And Copyright Law: A Comparative Analysis Of Authorship, Ownership, And Protection In The Digital Age




Himani Dhingra, Law College Dehradun, Uttaranchal University

Satyam Sharma, Law College Dehradun, Uttaranchal University


ABSTRACT


The advent of artificial intelligence as a creative industry has essentially challenged the normative rules of copyright across the world. This paper explores the legal implications of AIcreated works in different countries around the world, assessing the way different jurisdictions deal with critical challenges of authorship, ownership, and copyrightability. The paper looks at the different approaches taken by the United States, European Union and Asian jurisdictions and identifies significant differences in how legal regimes balance innovation incentives and the old copyright rules. Issues examined about this area of critical concern include the need to have a human author, the conferral of ownership, the inclusion of copyrighted material into AItraining datasets, the policy implications of creative industries in general. The study shows that there is no jurisdiction that has fully achieved the solution to these problems and the lack of international harmonisation creates great legal uncertainty in the digital age. It is found that the future copyright systems must go beyond anthropocentric and do not compromise the necessary incentive that the copyright law was designed to protect.


Keywords: Artificial Intelligence, Copyright Law, AI-Generated Works, Intellectual Property, Authorship, Ownership Rights, Global Copyright Policy, Training Data, Human Authorship Requirement, Legal Harmonization.



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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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.

 

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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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