AI LITERACY IN ACADEMIC LIBRARIANSHIP: COMPREHENSIVE LITERATURE REVIEW AND EMERGING TRENDS

Abstract

The rapid integration of artificial intelligence (AI) into academic libraries has created both opportunities and challenges for librarians, particularly in terms of AI literacy. Despite the transformative potential of AI to enhance library services, many academic librarians lack the necessary competencies to effectively adopt and leverage these technologies. This gap in AI literacy poses significant barriers to equitable access and responsible AI use, threatening the ability of libraries to remain relevant in an increasingly digital and AI-driven world. To address this issue, this study aims to comprehensively review existing research on AI literacy in academic librarianship, identify best practices for enhancing AI literacy among librarians and the key themes for AI Literacy for academic librarian. The study using systematic analysis of recent literature from Scopus. Findings indicate that successful AI literacy initiatives often involve structured reskilling programs, interdisciplinary collaboration, and the integration of ethical frameworks into training curricula. These findings contribute to both theory and practice, offering a foundation for empowering academic librarians to navigate the complexities of AI adoption while promoting equity and ethical responsibility in library services.