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Original Article | Library Science | Volume 15 Issue 3, March 2026 | Pages: 1579 - 1584 | India
Exploring Librarians' Experiences in Integrating Artificial Intelligence into Reference Services: A Quantitative Study in West Bengal
Abstract: The rapid integration of Artificial Intelligence (AI) into library reference services has fundamentally altered information access, service delivery, and professional practices. This study presents a quantitatively grounded investigation of librarians? experiences with AI-enabled reference services in academic and public libraries of West Bengal, India. Using a structured survey instrument, data were collected from 200 librarians and analyzed through descriptive and inferential statistical techniques using SPSS. Reliability analysis confirmed strong internal consistency of the measurement scales. Results indicate that librarians largely perceive AI as enhancing reference efficiency, user satisfaction, and service innovation. However, statistically significant concerns persist regarding ethical accountability, algorithmic bias, role transformation, and the need for continuous professional training. Inferential tests reveal significant differences in AI perception based on library type and significant associations between professional experience and ethical concern. The study provides robust empirical evidence to support policy formulation, capacity-building initiatives, and ethically responsible AI integration in library reference services.
Keywords: Artificial Intelligence, Reference Services, Librarians, Quantitative Analysis, SPSS, West Bengal
How to Cite?: Ranajit Kumar Mandal, Dr. Arun Modak, "Exploring Librarians' Experiences in Integrating Artificial Intelligence into Reference Services: A Quantitative Study in West Bengal", Volume 15 Issue 3, March 2026, International Journal of Science and Research (IJSR), Pages: 1579-1584, https://www.ijsr.net/getabstract.php?paperid=SR26205160739, DOI: https://dx.dx.doi.org/10.21275/SR26205160739