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Research Paper Volume 9 Issue 1 1374 - 1392 February 17, 2026

Navigating the Gray Area: Artificial Intelligence, Authorship and Ownership in Higher Education

Lead author · Corresponding
Suman. M
LL.M. Student at St. Joseph’s College of Law. Bangalore, Karnataka, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.1111331
Abstract

The quick incorporation of Artificial Intelligence into Higher Education has raised new concerns regarding Authorship, Ownership, academic integrity and institutional responsibility. Generative AI tools like ChatGPT, Gemini, Perplexity and other “AI tools” used in today’s world by students, academicians, employees and others to create textual content. All such generated contents suffer from one common issue that is the copyright. Most of them are unaware of the work generated by the AI tools that who is the owner or author of such copyrighted work. Artificial Intelligence (AI) in academic writing may also involve the accidental use of other’s work without proper acknowledgement of the authors or sources which may affect the academic integrity and ethical standards. Traditionally copyright law is meant to reward human creativity but its application to AI generated works is complicated. The impact of generative AI on India’s copyright frameworks focusing on the critical question; ‘Who own’s AI created work’s? Also considering recent judicial interpretations in India such as the brief recognition of AI as a co-author in a copyright registration case, this was later revoked highlighting the judiciary’s uncertainty. The Indian judiciary ought to adjust to the latest technology developments and foresee the unique legal obstacles that arise from the incorporation of AI in creative endeavours.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 9, Issue 1, Page 1374 - 1392
DOI: https://doij.org/10.10000/IJLMH.1111331
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CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
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Copyright © IJLMH 2026
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The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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