Artificial Intelligence and Digital Transformation in Academic Libraries: Emerging Trends in Library and Information Science (2020–2025)
Abstrak
The rapid advancement of Artificial Intelligence (AI) and digital technologies has significantly transformed Library and Information Science (LIS) in recent years. Academic libraries are evolving from traditional information repositories into intelligent digital knowledge centers that support automated services, smart information retrieval, digital preservation, and data-driven decision-making. The present study examines emerging trends in Library and Information Science from 2020 to 2025 with special emphasis on Artificial Intelligence, AI literacy, smart libraries, digital repositories, cloud computing, and information literacy. The study adopts a descriptive and scientometric research methodology using secondary data collected from scholarly databases such as Scopus, Web of Science, ScienceDirect, and Google Scholar. The findings indicate substantial growth in AI-related LIS research during the last five years. The study further reveals that academic libraries increasingly adopt AI-powered services, chatbots, metadata automation, and intelligent recommendation systems to improve operational efficiency and user satisfaction. However, challenges related to digital inequality, ethical AI practices, privacy concerns, copyright issues, and technological infrastructure continue to affect the implementation of intelligent library systems. The study concludes that future libraries will become more intelligent, user-centered, and data-driven institutions that support digital learning, open knowledge access, and advanced research ecosystems.
Identifier
- DOI: https://doi.org/10.5281/zenodo.20837895
- OpenAlex: https://openalex.org/W7165917058