Redefining Library Services: The Role of Artificial Intelligence and Machine Learning in Modern Libraries

Abstract

Artificial intelligence (AI) has opened up new avenues for advancing research across various fields. The widespread adoption of AI technologies in different sectors has created a promising outlook for the future. In the realm of libraries, AI has significantly enhanced the availability and utilization of information resources, contributing to the achievement of library objectives. To maintain their relevance, librarians must adopt innovative thinking, as AI is now employed in numerous library functions, from organizing books to facilitating their delivery. AI has introduced new possibilities, such as integrating physical and digital resources and linking video assistance with physical materials. This review paper explores the integration of Artificial Intelligence (AI) in library science, focusing on the applications, tools, and challenges identified through a comprehensive literature search. AI is increasingly transforming library operations, offering innovative solutions for cataloging, classification, content discovery, and user interaction. The review highlights key AI-driven tools, such as chatbots, recommendation systems, and automated cataloging software, which enhance library efficiency and user experience. However, the adoption of AI in libraries also presents significant challenges, including data privacy concerns, the need for specialized training, and the potential for job displacement. The paper synthesizes current findings to provide a nuanced understanding of AI's role in modern libraries, offering insights into both its transformative potential and the obstacles that must be navigated to fully realize its benefits.