The Integration of Artificial Intelligence Tools in Academic Libraries Within Ghana

Abstract

Artificial Intelligence (AI) presents substantial opportunities to advance library operations and user experiences.
However, its integration in academic libraries in Ghana has been relatively unexplored. This study investigates
the adoption and implementation of AI tools in academic libraries within Ghana, employing a quantitative approach. Focusing on library staff from the University of Ghana (UG), Kwame Nkrumah University of Science
and Technology (KNUST), and the University of Cape Coast (UCC), the research sampled 40% of the total population of 450 staff members, resulting in a sample size of 180. Findings indicate that AI-driven search engines and automated cataloging are the most widely adopted tools. UCC shows a broader adoption of AI applications, including chatbots and AI-based recommender systems, while predictive analytics remains less common. The study highlights key factors for successful AI implementation: adequate funding, staff training, technical support, and user acceptance. Despite concerns about job displacement and the necessity for policy adjustments, librarians view AI as a valuable asset for enhancing library services and user engagement. The study underscores the need for academic libraries to prioritize securing resources, investing in staff training, and updating policies to effectively integrate AI technologies and address the evolving demands of library users.