Abstract
Artificial Intelligence (AI) is rising fast. In its application in library and information science, it has greatly transformed how information is managed, accessed, and disseminated. This systematic review examines the role of AI in enhancing library services across various domains, including cataloging, recommendation systems, Chatbots/virtual assistance, digital preservation and archiving, and predictive analytics. Drawing on peer-reviewed literature, institutional reports, and gray literature published between 2015 and 2024, the study focuses on synthesizing key thematic findings to identify technological trends, practical applications, and strategies employed by libraries worldwide. This study employed and strictly adhered to PRISMA 2020 guidelines, and 50 relevant studies were studied in the final review from an initial 500 studies retrieved. The findings identified the obvious shift of libraries towards automation, intelligent systems, and predictive analytics that support services that are user-oriented and enhance operations. Even though AI has promising benefits, this study identifies key challenges faced during AI adoption, particularly concerning data privacy, transparency, algorithm bias, infrastructural gaps, funding, and workplace displacement. The study concludes by providing strategic recommendations for librarians, policymakers, and technology experts, as well as suggestions for further studies for LIS professionals seeking to fully integrate AI into the library system. The study comprehensively synthesizes existing literature and contributes to informed decision-making, critical reflection, and scholarly discussions on the future of AI-powered libraries.
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