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The Growing Conflict Between Copyright Law And The Evolving Landscape Of Digital Education And Modern Research.




Adarsh M G, LLM, GLC Ernakulam

Muhammed Feroz Sha, Advocate


ABSTRACT


This article critically examines the growing influence of artificial intelligence (AI) in academic environments, including education, research, and institutional service work. It explores how AI tools, particularly generative language models, are reshaping pedagogical practices, facilitating research activities, and streamlining administrative tasks. While these technologies present opportunities for innovation and efficiency, they also raise important concerns about academic integrity, research quality, equitable access, and the erosion of human-centric values in higher education. The article advocates for a balanced integration of AI that enhances academic processes without compromising mentorship, critical thinking, and institutional ethics. Additionally, the article reflects on India’s approach to Digital Rights Management (DRM) in copyright law, questioning the relevance of restrictive provisions in a developing economy where broader access to educational material is crucial. Through this dual focus, the article highlights the need for thoughtful policy and pedagogical reforms that align technological advancements with the core mission of academic institutions.


Keywords: Artificial Intelligence, Higher Education, Academic Integrity, Pedagogy, Generative AI, Research Quality, Academic Administration, Digital Rights Management, Indian Copyright Law, Technological Ethics.



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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