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Generative-artificial intelligence: Implications to Nigerian academic libraries

S. Dahiru

2026 · DOI: 10.47524/lipr.v7i4.22
Library and Information Perspectives and Research · 0 Citations

TLDR

The study highlights the benefits and implications of generative AI adoption, such as the optimization of resource management, enhancement of user experience, provision of real-time and round-the-clock responses to user inquiries, and improvement of service accessibility and efficiency.

Abstract

The adoption of generative artificial intelligence (AI) in academic libraries is essential for maintaining their relevance

in an increasingly dynamic information environment. Embracing this technology enables libraries to meet the evolving

needs of their clientele and align with global developments in information and communication technologies. This

paper explores the concept of AI technology, categorizing it according to levels of intelligence, complexity, and

functional tasks. It further examines the necessity and applicability of generative AI in key library operations,

including information retrieval, reference services, and other core information functions. The study highlights the

benefits and implications of generative AI adoption, such as the optimization of resource management, enhancement

of user experience, provision of real-time and round-the-clock responses to user inquiries, and improvement of service

accessibility and efficiency. Despite these advantages, the paper identifies several challenges hindering effective

adoption in Nigerian academic libraries, including concerns over intellectual property rights, technophobia among

some librarians, and issues of data quality and reliability. The study concludes that successful integration of generative

AI in Nigerian academic libraries depends largely on the level of awareness, digital literacy, and technical

competencies possessed by both librarians and users. It recommends that librarians acquire the necessary skills not

only to manage AI-based tools but also to design context-specific systems capable of addressing challenges related to

intellectual property, data integrity, and adherence to bibliographic standards such as the Anglo-American Cataloguing

Rules, Second Edition (AACR2).