Published Paper Details:

The present study investigates the transformative effect of artificial intelligence (AI) on cataloging practices in modern libraries, considering the probabilities and challenges of this technology evolution. The research is based on the investigation of AI tools such as natural language processing so that possible improvements for metadata accuracy and consistency may be highlighted. This could enhance both its organization and retrieval of information. The study will show how the use of classification systems dependent on AI and recommendation algorithms personalizes users' experience of library resources. Current research questions have been formulated regarding the present application of AI in cataloging, its perceived advantages and challenges of adoption, and what implications these AI-imbued practices have for users' experiences with information retrieval. Through extensive teaching-learning literature and case studies, this research intends to bring relevant insights into the activities of practicing librarians about the modern complicated practice of cataloging in this increasingly digitized world. The results show the importance of having cataloging practices aligned with user needs while harnessing AI technology for better library services and access.