Integrating AI into Library Systems: A Perspective on Applications and Challenges
Ian Tai, Souvick Ghosh · 2024
Recent advancements in artificial intelligence (AI) have led to transformative impacts across various sectors, including the library and information science (LIS) domain. The incorporation of AI into traditional and digital library services facilitates the automation of routine tasks such as circulation and cataloging, while simultaneously enhancing patrons' experiences through improved book recommendations and informational chatbots. This perspective paper reviews the literature to identify the current perceptions of AI in libraries, applications of AI in public and academic libraries, future research directions in the field, and the potential challenges of adopting AI in libraries. Through a systematic search and investigation, we detail the purpose, methodologies, and findings of existing literature on AI applications in libraries. This paper documents three main areas of artificial intelligence with potential for integration into library services: recommendation systems, information and resource retrieval, and optical character recognition.