INTEGRATING ARTIFICIAL INTELLIGENCE INTO DIGITAL LITERACY PROGRAMS FOR ACADEMIC LIBRARIES

Abstract

The influence of artificial intelligence (AI) is increasingly evident across academic disciplines, prompting a growing need for individuals to cultivate AI-related digital literacy. In response to the International Federation of Library Associations and Institutions (IFLA) declaration on libraries and AI, this study explores the development of a structured framework for designing and implementing an AI-focused digital literacy course within academic libraries. A comprehensive literature review using Scopus and Web of Science was conducted to assess existing digital literacy programs, identify gaps, and highlight best practices for AI-specific instruction. Through document and web content analysis, academic libraries with established digital literacy initiatives were examined. The findings emphasize the importance of collaboration among librarians, students, faculty, research offices, university leadership, and ICT departments in crafting effective AI literacy programs. The proposed framework addresses key challenges in course delivery and contributes to the broader conversation on AI education by offering actionable guidance for academic libraries aiming to foster responsible digital engagement and AI awareness.