The Prospects and Challenges of Artificial Intelligence Technology in Archival Management

Abstract

The evolution of information technology prompts inquiry into AI's role in archival management, emphasizing future trajectories, technological advancements, and challenges. AI promises intelligent, automated, and personalized archive management, enhancing efficiency and service quality. Potential innovations include learning-based categorization and natural language summarization, offering advanced user services. Challenges like data privacy and human-machine interaction balance also offer developmental opportunities. This discourse stresses collaborative efforts to sustainably integrate AI in archival management, fostering digitalization and intelligence transformation.