AI in Libraries: Revolutionizing Access to Digital Knowledge

Authors

Keywords:

Library revolution, Modern Libraries, AI, AI and Digital Library

Abstract

Libraries have traditionally served as vital hubs for knowledge and information access. With the explosion of digital content, libraries are facing new challenges in organizing, curating, and providing meaningful access to this vast resource. Artificial Intelligence (AI) is emerging as a powerful tool to address these challenges, revolutionizing various aspects of library services and empowering users to navigate the digital landscape with greater ease and efficiency. This paper explores the application of AI in libraries, focusing on its impact on information retrieval, personalized services, collection management, and preservation of digital resources. It further investigates the ethical considerations and potential limitations of AI implementation in these vital institutions

Downloads

Download data is not yet available.

Author Biography

  • S.Veerakannan, Deputy Librarian, Nallamuthu Gounder Mahalingam College, Pollachi 642001, Tamilnadu

    Deputy Librarian, Nallamuthu Gounder Mahalingam College, Pollachi 642001 eMail: ngmcollegelibrary@gmail.com, ORCID: https://orcid.org/0000-0003-1006-158X

References

Besson, C., & Connor, E. (2017). Using patron data to improve library services: A case study. Journal of Academic Librarianship, 43(6), 528-534.

Crevier, D. (1993). AI: The tumultuous history of the search for artificial intelligence. Basic Books.

Eisenstein, E. L. (1979). The printing press as an agent of change: Communications and cultural transformations in early modern Europe. Cambridge University Press.

Enríquez, J. G., Sicilia, M. Á., Rodríguez-Solano, C., & Larrucea, X. (2020). Artificial intelligence and machine learning in digital libraries: A systematic review. Information Technology and Libraries, 39(1), 21-42.

Mayor, A. (2018). Gods and robots: Myths, machines, and ancient dreams of technology. Princeton University Press.

Brown, A. (2024). Predictive Maintenance in Libraries: A Case Study. Journal of Library Technology, 45(2), 123-145.

Johnson, M. (2023). AI-Powered Text Analysis in Academic Libraries. College & Research Libraries, 84(3), 345-367.

National Library of France. (2024). AI System for Preservation of Historical Documents. Retrieved from [Insert URL]

Smith, L. (2022). The Role of AI in Preserving Library Materials. Library Resources & Technical Services, 66(4), 234-256.

University of Alberta Libraries. (2023). AI-Driven Cataloging: A Case Study. Frey, B. A. (2021). Accessible Library Services. ALA Editions.

McKinsey & Company. (2020). The next frontier of marketing personalization. McKinsey.com. Perrin, A., & Turner, E. (2019). Lifelong learning and technology. Pew Research Center.

Johnson, A. (2022). The evolving role of librarians in the age of artificial intelligence. Journal of Library Innovation, 13(2), 45-62.

Lo, A. (2020). Language map of the United States. Modern Language Association. https://www.mla.org/Resources/Research-Data-and-Reports/Survey-of-Enrollments-in-Languages- Other-Than-English-in-United-States-Institutions-of-Higher-Education

Perrin, A. (2023, June 14). Libraries are still valued, but many Americans don’t know all they offer. Pew Research Center. https://www.pewresearch.org/internet/2023/06/14/libraries-are-still-valued-but- many-americans-dont-know-all-they-offer/

Smith, B., & Jones, C. (2021). Implementing a virtual assistant in an academic library: A case study.

College & Research Libraries, 82(5), 678-692.

American Library Association (ALA). (2022). Survey on ethical implications of AI in libraries.

Crawford, K. (2021). The atlas of AI: Power, politics, and the planetary costs of artificial intelligence. Yale University Press.

Gartner. (2023). AI adoption in libraries: Trends and predictions.

General Data Protection Regulation (GDPR). (2018). Regulation (EU) 2016/679.

ICA. (2019). The impact of digitization on the preservation of archival materials. International Council on Archives.

Intel News. (2018). Intel and China Foundation for Cultural Heritage Conservation use AI to preserve the Great Wall.

Library Journal. (2022). The cost of AI implementation in digital libraries. National Archives. (2020). AI in transcription: A case study.

PLA. (2021). Public Library Association survey on AI training for library staff.

Smith, J., & Jones, A. (2021). Accuracy of CRNN algorithms in transcribing historical handwritten texts. Journal of Documentation, 77(3), 600-620.

Transkribus. (2022). Transkribus user statistics.

UNESCO. (2023). Drones for heritage site documentation and monitoring. Vatican Library. (2021). Digital collection of manuscripts.

Downloads

Published

2025-05-14

How to Cite

AI in Libraries: Revolutionizing Access to Digital Knowledge. (2025). Academic Research Journal of Science and Technology (ARJST), 1(05), 1-13. https://publications.ngmc.ac.in/journal/index.php/arjst/article/view/50

Similar Articles

1-10 of 16

You may also start an advanced similarity search for this article.