Proceedings of 3rd International Conference on Library & Technology on “Artificial Intelligence and Humanities in Library and Education 4.0 (AIHLE 2025)

Legal Implications of Machine Learning And Artificial Intelligence in Library Management Systems Under Indian Law

Authors
Purnima Tyagi1, *, Rajesh Bahuguna2
1Law College Dehradun, Uttaranchal University, Dehradun, Uttarakhand, 248007, India
2Law College Dehradun, Uttaranchal University, Dehradun, Uttarakhand, 248007, India
*Corresponding author. Email: tyagipurnima2511@gmail.com
Corresponding Author
Purnima Tyagi
Available Online 16 March 2026.
DOI
10.2991/978-94-6239-618-0_27How to use a DOI?
Keywords
Artificial Intelligence (AI); Data Protection; Library Management Systems (LMS)
Abstract

Artificial intelligence (AI) and machine learning (ML) technologies are being used more and more by Indian libraries in the context of their Library Management Systems (LMS) to automate catalog operations, expedite circulation procedures, and offer client-specific recommendation services. In actuality, a number of legal conundrums pertaining to data protection, privacy, intellectual property, and algorithm transparency accompany all of these technologies that make things more accessible and efficient. The Digital Personal Data Protection Act, 2023 (DPDP Act), which enshrines the constitutional right to privacy enunciated in K.S. Puttaswamy v. Union of India, is the basis of the legal system in India. It entails data fiduciaries, including public and institutional libraries, to provide secure, purpose-bound, and consented data processing. In addition, the Information Technology Act, 2000, the Copyright Act, 1957, and the Right to Information Act, 2005 converge to oversee data management, authorship rights, and standards of disclosure in AI-based library systems.

This paper takes a critical look at the legal aspects of use of artificial intelligence and machine learning in learning management systems in the Indian laws, finding obstacles in data profiling, accountability of algorithms, and ownership of copyright and cross-border information processing. It claims that despite the fact that the newly-established data protection regime in India offers a solid framework, the industry requires industry-specific standards to counter the legal risks associated with AI-driven library systems, which are specific. The paper also puts forward a compliance framework that would combine data protection impact assessment (DPIA), distributing risks in the contract, and ethical principles of AI to bring harmonization in technological innovation and the safeguarding of basic rights.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of 3rd International Conference on Library & Technology on “Artificial Intelligence and Humanities in Library and Education 4.0 (AIHLE 2025)
Series
Advances in Intelligent Systems Research
Publication Date
16 March 2026
ISBN
978-94-6239-618-0
ISSN
1951-6851
DOI
10.2991/978-94-6239-618-0_27How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Purnima Tyagi
AU  - Rajesh Bahuguna
PY  - 2026
DA  - 2026/03/16
TI  - Legal Implications of Machine Learning And Artificial Intelligence in Library Management Systems Under Indian Law
BT  - Proceedings of 3rd International Conference on Library & Technology on “Artificial Intelligence and Humanities in Library and Education 4.0 (AIHLE 2025)
PB  - Atlantis Press
SP  - 358
EP  - 377
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-618-0_27
DO  - 10.2991/978-94-6239-618-0_27
ID  - Tyagi2026
ER  -