Abstract

The integration of Artificial Intelligence (AI) in archival practices marks a significant shift in the management, preservation, and accessibility of historical, cultural, and scientific records. As the volume of digital data continues to grow, traditional archival methods are becoming increasingly insufficient in handling this influx. AI-powered technologies, including machine learning, natural language processing (NLP), and computer vision, are transforming how archives are organized, categorized, and made accessible. These tools automate mundane tasks, improve metadata generation, enhance search and retrieval systems, and ensure the long-term preservation of digital content. This article explores the ways in which AI is reshaping archival workflows, addressing challenges such as data overload, accessibility, and digital preservation, and highlights the future potential of AI-driven archives