Artificial Intelligence in Library Technical Services: Perceived Benefits and Challenges of Its Application in Cataloguing and Classification at Gabriel Afolabi Ojo Central Library, Abuja, Nigeria

Abstract

This study investigates the role of artificial intelligence (AI) in cataloguing and classification, focusing on its benefits and challenges as perceived by cataloguing librarians in National Open University of Nigeria (NOUN) called Gaberiel Afolabi Ojo Central Library, Abuja. A quantitative research design was adopted, and data were gathered through structured interviews. The population for the study consisted of eight cataloguing and classification librarians working in the university library. Four research questions guided the investigation. Findings revealed that the librarians are aware of AI applications in cataloguing and classification tasks. AI enhances automatic cataloguing processes through tools such as Optical Character Recognition (OCR), enabling faster completion of tasks and reducing human workload. It improves the accuracy and consistency of cataloguing, minimizes errors, saves time and resources, and supports the creation of metadata for digital resources ultimately increasing the speed and efficiency of metadata generation. Despite these benefits, the study identified several challenges to AI adoption. Key barriers include limited funding, unstable power supply, and a lack of skilled personnel to manage and operate AI technologies effectively. Furthermore, the findings indicate that the NOUN Library currently lacks a strategic plan to guide the integration of AI into cataloguing and classification workflows. The study recommends that a clear and well-structured strategic implementation plan be developed. This plan should focus on capacity building, infrastructure support, and long-term investment to enable the practical adoption of AI tools in cataloguing and classification processes