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International Research Journal of Library and Information Sciences

Open Access Peer Review International
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Transforming Digital Libraries: An Analysis of AI-Driven Service Enhancement and Implementation Challenges

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Dr. Anya Sharma 1 , Prof. Jian Li 1 ,
4 School of Information Sciences, Carnegie Mellon University, Pittsburgh, USA
4 Department of Computer Science & Artificial Intelligence, Tsinghua University, Beijing, China

Abstract

Purpose: This paper investigates the transformative role of Artificial Intelligence (AI) in enhancing the services and operations of modern digital libraries. As digital collections expand, libraries face significant challenges in information discovery, resource management, and user engagement. This study aims to systematically review and synthesize the primary applications of AI being deployed to address these challenges.

Methodology: The study employs a systematic literature review, analyzing peer-reviewed articles, technical reports, and case studies from leading institutions. The analysis is structured around key AI technologies—including Natural Language Processing (NLP), Machine Learning (ML), and computer vision—and their impact on distinct library functions.

Findings: The review identifies several key areas of AI-driven enhancement. For users, AI is improving information discovery through semantic search [10, 16], personalized recommender systems [12], and multilingual access [5, 13]. For library operations, AI is streamlining backend processes via automated metadata generation [6, 19] and advanced Optical Character Recognition (OCR) for digitization [18]. Furthermore, AI-powered chatbots are revolutionizing user support by providing instant, 24/7 virtual reference services [2, 8].

Conclusion: The integration of AI represents a paradigm shift for digital libraries, offering a suite of powerful tools to create more intelligent, responsive, and efficient services. However, successful implementation is contingent upon addressing significant challenges, including ethical considerations of algorithmic bias and data privacy [14], as well as practical hurdles related to cost and technical expertise [15]. A strategic, ethical, and user-centered approach is therefore essential for libraries to fully harness the transformative potential of AI.

Keywords

Artificial Intelligence, Digital Libraries, Machine Learning

References

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