Applications of Artificial Intelligence in Digital Archive Preservation Processes

Abstract

This study aimed to examine applications of artificial intelligence (AI) in digital archival preservation processes, based on scientific literature retrieved from the Scopus database (Elsevier). The research adopts an exploratory and bibliographic approach, combining qualitative and quantitative methods, with the additional application of bibliometric analysis. The study identified 48 relevant publications, of which 29 were deemed pertinent to achieving the research objectives. The analyzed works were produced across multiple countries, with the United States of America being the most prolific contributor. The year 2022 emerged as the most productive period for publications on this topic. The findings indicate that AI methods hold significant potential for enhancing the management and preservation of digital archives. This includes the automation of record description, content organization, and sensitive data anonymization. Furthermore, AI can contribute to archival security and maintenance, ensuring the integrity and authenticity of stored information. Additionally, AI can facilitate user interaction and support scientific research, particularly in literature reviews and data organization. However, the effective implementation of AI in archival processes requires adherence to established informational methodologies and best practices, as well as ethical considerations in tool deployment. Key prerequisites include: (1) the availability of qualified professionals committed to continuous knowledge updating, (2) adequate technological infrastructure, and (3) intensified research on AI applications alongside ethical and moral implications in both academic and professional domains.