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Harikrishna Bommala

Patttipati Naveen Kumar

Sonali Vishnu Katke

Jamal

Sindhu Nagula

Palamakula Swathi

Manideep Karumanchi

Abstract

The artificial intelligence revolution and new avenues for smart library management systems define improved access and efficiency with user satisfaction. Artificial intelligence, combined with machine learning, has brought librarianship to a superior level by harnessing computer vision and natural language processing, which generally drives library automation and tailors user service and optimizes resource allocation. Intelligent recommendations and search engines as well as automated cataloging and classification are but a few of the numerous benefits of AI-powered systems, such as predictive analytics in resource management. We discuss issues of personal information privacy, bias in algorithms, and changing roles of librarians. This report is a good reading for librarians, scholars, and policymakers that have interest in assessing the role that AI will play in the future smart libraries. AI tools such as smart algorithms and machine learning may improve the operation of the library while at the same time making it more accessible. They give the worker ample mental bandwidth to focus on strategic initiatives by automating routine tasks. The use of AI can also help improve the intelligence of search engines to provide a more targeted set of recommendations and search results for individual users. Concerns related to data security and lack of training for staff still prevail. Through real-life examples and current trends, this paper will demonstrate how AI can transform the old established library settings into a learning and exploratory hub, patron-centered.

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