Navigating the AI Landscape in Libraries: A PRISMA-Based Systematic Analysis of AI Applications in Libraries
K. Vrindha, C. Syamili · Journal of Web Librarianship · 2025
Artificial Intelligence (AI) has become an essential part of modern life, and its impact on libraries is increasingly evident. This study identifies a significant rise in research exploring the intersection of AI and library services in recent years. However, the actual implementation of AI in libraries remains in its early stages at many institutions. The research systematically analyzes scholarly articles on AI in libraries using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) method. Data were collected from the Scopus and Web of Science databases, with all publications assessed using the SPIDER tool. The quality of the selected articles was evaluated using the Critical Appraisal Skills Programme (CASP) checklist. The findings reveal a notable surge in research activity exploring the relationship between AI and libraries. Specifically, ChatGPT shows potential to enhance library services in areas such as reference services, classification, and cataloging. While AI offers advantages like improved search accuracy, automated cataloging, and content creation, concerns about biased results, privacy, and security persist. Although AI could play a crucial role in future library services, it is not a substitute for human librarians. Key challenges include funding constraints and fears of job loss among library staff. The study also highlights a gap in the development of AI technologies specifically designed for libraries, emphasizing that while AI is valuable, it cannot yet replace the nuanced judgment of a librarian.