Generative-artificial intelligence: Implications to Nigerian academic libraries
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 evolvingneeds of their clientele and align with global developments in information and communication technologies. Thispaper explores the concept of AI technology, categorizing it according to levels of intelligence, complexity, andfunctional 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 thebenefits and implications of generative AI adoption, such as the optimization of resource management, enhancementof user experience, provision of real-time and round-the-clock responses to user inquiries, and improvement of serviceaccessibility and efficiency. Despite these advantages, the paper identifies several challenges hindering effectiveadoption in Nigerian academic libraries, including concerns over intellectual property rights, technophobia amongsome librarians, and issues of data quality and reliability. The study concludes that successful integration of generativeAI in Nigerian academic libraries depends largely on the level of awareness, digital literacy, and technicalcompetencies possessed by both librarians and users. It recommends that librarians acquire the necessary skills notonly to manage AI-based tools but also to design context-specific systems capable of addressing challenges related tointellectual property, data integrity, and adherence to bibliographic standards such as the Anglo-American CataloguingRules, Second Edition (AACR2).