Empowering Research Workflows and Information Retrieval in Academic Libraries through AI Tools

Mandira Bairagi () and Shalini R. Lihitkar ()
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Mandira Bairagi: Rashtrasant Tukadoji Maharaj Nagpur University, Research Scholar, Department of Library and Information Science
Shalini R. Lihitkar: Rashtrasant Tukadoji Maharaj Nagpur University, Professor, Department of Library and Information Science

A chapter in Proceedings of the International Conference on Marching Beyond the Libraries (ICMBL): Leadership, Creativity, and Innovation (ICMBL 2024), 2025, pp 65-77 from Springer

Abstract: Abstract This paper investigates the transformative role of artificial intelligence in library and information science, especially in academic libraries. AI technologies are viewed as enabling components that can render the entire process of research more efficient, accelerate information-seeking, and personalize user experiences. They undertake the identification of essential AI tools for automating mundane operations, facilitating cataloging processes, and giving customized resource recommendations to catalyze service efficiency and effectiveness. Emphasizing key challenges in AI adoption-such as data privacy, algorithmic bias, resource constraints, and curricula re-training of LIS-it highlights not just the importance of transparency in AI decision-making but also advocates steps to reinforce collaboration among and continuous learning of professionals in LIS toward the successful resolution of challenges it raises. The findings call for urgent action on the way forward on the identification and appropriation of AI technologies by academic libraries in order to remain relevant and engage users in the digital era, while also addressing ethical concerns and complying with data protection laws.

Keywords: Artificial Intelligence; Chatbots; Research; Academic Library; Information Retrieval; AI Tools (search for similar items in EconPapers)
Date: 2025
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DOI: 10.2991/978-94-6463-712-0_6

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