Role of Generative AI in Enhancing Library Management Software

Abstract

Enhancing Library Management Software (LMS) through work automation, more efficient cataloging, and customized user experiences are all made possible by generative AI. In order to better understand how generative AI fits into library systems, this paper looks at how it may provide accurate information, optimize operations, and provide tailored suggestions depending on user preferences. AI-driven systems reduce the human labor necessary for categorization and resource management while boosting user engagement through targeted offerings. Notwithstanding these advantages, problems like prejudice in content produced by AI and worries about data privacy still exist.The integration of generative AI into Library Management Software (LMS) offers substantial potential for improving the efficiency and personalization of library services. Generative AI into LMS opens new opportunities to optimize functionality, improve user experience, and expand libraries digital outreach. The report underlines the necessity of addressing ethical issues and guaranteeing data transparency. It also highlights the necessity of scalable AI solutions, especially for smaller or less well-funded libraries. Libraries must overcome these obstacles as generative AI develops further in order to guarantee fair, efficient, and transparent AI inclusion.