AI-Powered Library Innovation: Revolutionizing the Future of Information Science in Nigerian Libraries

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Abstract

Abstract

The study explored AI-Powered Library Innovation: Revolutionizing the Future of Information Science in Nigerian Libraries. This research explores AI's transformative role in optimizing library functions and patron services. Structured around four objectives/research questions, the study employs a descriptive survey design, gathering insights from a population of over 10, 000 librarian and over 50,000 users. The researchers used the purposive sampling technique to select 3 states: Delta, Edo and Abuja. Accidental sampling technique was used to select 90 respondents including 10 LIS practitioners and 20 library users each from Delta state University, University of Benin, and University of Abuja via questionnaires. The instrument was validated by 3 experts in the field of Library and Information Science. The Crombach Alpha reliability method was used to test the internal consistency of the instrument and a reliability coefficient of 0.76 was gotten. The data collected were analyzed using descriptive statistics of mean scores and standard deviation. The results demonstrate that AI tools like machine learning and natural language processing (NLP) significantly improve resource discovery, automated cataloging, and customized user engagements, fostering more agile and user-responsive library ecosystems. However, barriers such as LIS professionals' skill deficiencies, budgetary constraints, and ethical concerns surrounding data privacy and algorithmic bias hindered comprehensive AI adoption. The study concludes that AI presents substantial opportunities for library innovation, yet maximizing its impact requires focused training initiatives, infrastructured enhancements, and comprehensive ethical frameworks for responsible implementation. Based on these outcomes, recommendations emphasized the continuous AI education initiatives, including hands-on workshops and seminars, to equip librarians with knowledge of cutting-edge AI tools and capacity to revolutionize library service delivery



Journal Title: Rivers State University Journal of Librarianship, Information and Contemporary Studies (RSU-JOLICS)

Category: Library and Information Science

ISSN: 3092-8486

Year of Establishment: 2025

Section: Library and Information Science

Volume: 1

Issue: 2

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Total Download: 20

Rhima, Tracy Efe (PhD). 2026 AI-Powered Library Innovation: Revolutionizing the Future of Information Science in Nigerian Libraries. Rivers State University Journal of Librarianship, Information and Contemporary Studies (RSU-JOLICS). 1 (2). 224-236. https://doi.org/10.61955/EPAQBY

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