Adopting artificial intelligence for library relevance: Overview of SDD-UBIDS

This study explores the adoption of artificial intelligence (AI) in enhancing library service delivery at the Simon Diedong Dombo University of Business and Integrated Development Studies (UBIDS) in Ghana. Employing a qualitative case study approach, the research draws on semi-structured interviews with librarians, faculty, deans, and students, alongside document analysis of institutional reports and policy documents. The findings reveal that AI offers substantial opportunities to improve cataloguing, information retrieval, and user interaction through intelligent systems such as virtual assistants and predictive analytics. However, challenges persist, including limited infrastructure, data privacy concerns, job displacement fears, and insufficient staff training. Participants also emphasized the need for ethical AI governance and continuous capacity building. The study recommends that UBIDS invest in staff reskilling, strengthen data protection frameworks, and develop clear AI adoption policies tailored to the university’s context. These findings provide actionable insights for academic libraries in similar resource-constrained settings seeking to embrace AI-driven transformation. Keywords: Library, Artificial intelligence, Adoption, Relevance.