Innovations In Library Services: The Integration Of Artificial Intelligence And Machine Learning In Modern Libraries

Abstract

This review article is focused on the present and past applications of Artificial Intelligence (AI) and Machine Learning (ML) in modern libraries and the transformation of these libraries from the past to the present and even the future. Many of them in the past years relied on basic tools such as the Dewey Decimal Classification System and Card Cataloging and now with computers and the new world of the digital age. These technological changes gave rise to the use of OPACs and digital libraries. The review is grounded on the modern advances where the application of AI and ML in cataloguing is achieved through the use of automated systems and metadata developed by the AI, in changing the user services through the use of chatbots, personalization, and collection development / operational efficiency through the use of predictive analytics and automation. Some of these technologies and the advantages that accompany them are described through examples of case studies. Some issues are related to technical and financial difficulties, data protection, and staff development. Thus, further experience suggests that it will be necessary to rise to these challenges and search for new technologies with the help of this review. Therefore, this systematic review guides the librarians, researchers, and policymakers regarding the use of AI and ML for enhancing library services which also depicts the future and real-world uses of AI and ML in the library context.