• Ramu Midde

Transformation in the light of AI in redefining archival management. Library science is dealing with a scenario where a lot of archival data needs to be managed by accelerating digitalization. The paper further argues that AI technologies, like OCR, machine learning, and natural language processing, are highly instrumental for automating tasks related to cataloging, indexing, and metadata generation. Such an integration can greatly improve operational efficiency and enhance the user experience in a significant way. It brings forth the theoretical implications on the integration of knowledge organization theory and information retrieval theory with AI, hence outlining a framework for AI integration in archival management. The framework is divided into three core categories: data digitization and preprocessing, AI-enhanced knowledge organization, and user-centric access and personalization. Further, the paper addresses challenges and ethical issues associated with AI adoption, including cost barriers, technical expertise, data privacy, and algorithmic bias. The paper, thus, does a theoretical analysis to discuss the ability of AI in bridging the gap between traditional methodologies of archiving and modern technological needs and offering a more efficient, inclusive, and scalable approach towards archival management in libraries across the globe with special reference to Indian contexts.

Artificial Intelligence, Archival Management, Knowledge Organization, Metadata Generation, Library Science

"Redefining Library Services: The Role of Artificial Intelligence in Simplifying Archival Management ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.f205-f214, November-2024, Available :http://www.jetir.org/papers/JETIR2411523.pdf

"Redefining Library Services: The Role of Artificial Intelligence in Simplifying Archival Management ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppf205-f214, November-2024, Available at : http://www.jetir.org/papers/JETIR2411523.pdf