AI Literacy in Higher Education: Strategies and Challenges for Information Science Professionals

Abstract

The impact of Artificial Intelligence (AI) in higher education is revolutionizing the educational landscape, especially in Library and Information Science (LIS). As technologies such as automation, information retrieval, and research support reshape the makeup of academic libraries, AI literacy has truly become an essential competency for information science practitioners. This paper explores that the drawing on literature and scholarship about the value of AI literacy in higher education, specific details in roles augmenting library services and enhancing user experiences, how to develop AI capabilities, including curriculum, training, ethical issues. The research results are complemented by efforts to address previous concerns regarding algorithmic bias, data privacy, and the resistance of AI adoption. Through a study of best practices and implementation frameworks, this paper seeks to offer a broad comprehension of AI literacy to support LIS professionals as they prepare to navigate the emerging digital landscape.