Artificial Intelligence in Academic Libraries: Opportunities and Challenges

Abstract

The study investigates the dual benefits and challenges that KNUST and UDS academic libraries in Ghana encounter while deploying Artificial Intelligence (AI) systems. The research investigated how academic libraries in Ghana are preparing for and responding to new AI technologies because these technologies show promise to enhance information access and research support and operational efficiency. A qualitative multiple case study design was employed, and data were collected through semi-structured interviews with librarians from both universities. The research shows that AI adoption exists at a beginning stage yet librarians understand its positive aspects. The KNUST works to create AI chatbots for service quality improvement but UDS recognizes AI advantages yet lacks detailed plans for its implementation. The two institutions have implemented AI tools including Turnitin for plagiarism detection and AI content detection which indicates their current use of AI technology. The research found multiple chances for AI adoption but it also revealed four main obstacles which included insufficient financial support and insufficient physical infrastructure and insufficient technical skills and non-existent institutional frameworks for AI implementation. The research shows that Ghanaian academic libraries need ongoing financial support and policy creation and staff training to successfully implement AI systems. The report supports capacity development and institutional partnerships and ethical guidelines to ensure proper and efficient AI system deployment in academic libraries. The integration of AI technology will boost academic library operations in Ghana's knowledge economy through improved efficiency and innovative capabilities and enhanced impact.