• R. Ganesh

Artificial intelligence (AI) is revolutionizing numerous fields, and libraries are no exception. This article explores the transformative potential and critical considerations involved in integrating AI into library services. We analyze how AI significantly enhances information retrieval through semantic search capabilities and personalized recommendations, improving user experience and resource discovery. Furthermore, the paper details AI's role in automating routine tasks such as cataloging, data entry, and user inquiries via chatbots, thereby boosting operational efficiency and allowing staff to focus on higher-value activities. While acknowledging these clear advantages, the article critically examines the inherent challenges and ethical considerations, including paramount concerns regarding data privacy, the risk of algorithmic bias, and the financial implications of AI implementation. We argue that the successful integration of AI in libraries demands a balanced approach, prioritizing robust data security, ethical algorithm design, and careful cost-benefit analysis. Ultimately, by embracing AI thoughtfully and inclusively, libraries can ensure their continued relevance, enhance accessibility, and remain vital hubs of knowledge dissemination in an increasingly digital and AI-driven world.

Artificial Intelligence, AI in Libraries, Library Services, Information Retrieval, Automation, Personalization, Ethical AI, Data Privacy, Algorithmic Bias, Digital Libraries.

"INTEGRATING ARTIFICIAL INTELLIGENCE IN LIBRARY SERVICES: PERSPECTIVES AND CONSIDERATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.285-288, February-2026, Available :http://www.jetir.org/papers/JETIRHJ06057.pdf

"INTEGRATING ARTIFICIAL INTELLIGENCE IN LIBRARY SERVICES: PERSPECTIVES AND CONSIDERATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. pp285-288, February-2026, Available at : http://www.jetir.org/papers/JETIRHJ06057.pdf