ABSTRACT
This research investigates the integration of artificial intelligence (AI) in library cataloguing and classification systems and its impact on information retrieval within the John Harris Library at the University of Benin. The study aims to achieve four main objectives: to identify cataloguing and classification activities directly impacted by AI integration, to assess user perceptions and interactions with AI-enhanced information retrieval systems, to measure the efficiency and accuracy improvements facilitated by AI in information retrieval, and to explore challenges encountered in incorporating AI technologies into library systems. This study respondents were the library users at the John Harris Library and the study provides insights into the transformative effects of AI on library services, user experiences, and the challenges associated with AI integration in library settings. Using a survey questionnaire methodology, the study revealed that various cataloguing and classification activities, including metadata extraction, call number creation, and subject analysis, have been significantly influenced by AI integration. Users generally perceive AI-enhanced systems as familiar, trustworthy, and relevant but express concerns regarding transparency. Furthermore, users actively engage with the AI system through query formulation, result evaluation, and feedback provision, indicating high levels of user interaction. The research found that AI substantially improves efficiency and accuracy in information retrieval within the John Harris Library. However, challenges such as inadequate funding, complex AI algorithms, ethical and legal considerations, data privacy issues, technological limitations, and a shortage of expertise hinder seamless integration.
