Digital transformation converts both legacy and newly generated archival records into electronic, i.e., digital data. As a result, automation methodologies based on artificial intelligence (AI) techniques are increasingly being implemented not only in the execution of traditional record-keeping activities but also in testing and developing new approaches for collecting, organizing, and retrieving information in various formats. Within the framework of digitalization challenges in the archival domain, this article examines the intersection of Artificial Intelligence with archival theory and practice, highlighting recent achievements in this area. Taking into account the processes occurring within the digital transformation of the economy of the Republic of Azerbaijan, the authors attempt to develop a systematic approach to the application of AI technologies in archival institutions. The purpose of the study is to analyze the practical experience of implementing technological solutions, particularly Artificial Intelligence, in archival activities and to explore the regulatory and methodological frameworks governing this field. The authors identify key tasks essential for establishing future-oriented archives based on the extensive use of AI technologies and for defining the fundamental standards for their application in archival practice.
The implementation of these tasks requires the adoption of AI technologies as well as the training of qualified professionals capable of effectively integrating these technologies into the practical work of archivists (pp.24-34).