Abstract

This study used a scoping review approach to investigate the application of Generative Artificial Intelligence in services at university libraries in the world. The selection of scientific articles and the reporting of findings adhered to the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). A review of scientific literature published within the past five years, retrieved from Web of Science, ScienceDirect, and ProQuest, reveals key trends, opportunities, and challenges in the implementation of Generative Artificial Intelligence for research and learning support services at university libraries. Specifically, the prominent strengths of Generative Artificial Intelligence lie in its ability to enhance information retrieval efficiency, assist in academic writing, translation, and editing, personalize library services, and improve user information literacy. However, concerns regarding accuracy, legality, ethics, and privacy remain significant challenges that necessitate address. Based on the review findings, the study proposes directions for optimizing Generative Artificial Intelligence implementation in research and learning support services at university libraries, alongside identifying key areas for future research.