The Impact of Artificial Intelligence on Cataloging and Classification Systems in Modern Libraries

Abstract

The integration of Artificial Intelligence (AI) into cataloging and classification systems represents a transformative shift in modern libraries. This research paper examines the impact of AI technologies on these systems, focusing on advancements in automation, accuracy, and user experience. By exploring various AI applications such as natural language processing (NLP), machine learning (ML), and deep learning, this paper highlights how these technologies have enhanced cataloging processes and classification efficiency. The study also discusses challenges and limitations associated with AI adoption in libraries, including issues related to data privacy, algorithmic bias, and the need for human oversight. Through a review of recent literature and case studies, this paper aims to provide a comprehensive understanding of how AI is reshaping library cataloging and classification, and offers recommendations for future research and practice.