Artificial intelligence technologies in the formation of the archival environment: problems and prospects

Abstract

The authors studied the prospects of using artificial intelligence (AI) technologies to create and develop a digital archival environment, as well as their impact on the optimization and automation of archived data management processes. The main purpose of the work is to analyze modern digital solutions aimed at improving the processes of storing, searching and processing archival documents (including handwritten, damaged, multilingual). The paper explores key technologies used in digital archives, including intelligent scanning, natural language processing (NLP), computer vision, machine learning, and intelligent search methods. Special attention is paid to the problems of loss of archival materials, the need to restore them, ensure data security and accessibility, which is especially important in an unstable political situation and limited resources for new territories. The research is based on a systematic analysis of modern information technologies and their application in the archival business. The work uses methods of comparative analysis, classification and forecasting, which allows us to identify key areas of AI implementation in the archival field. The novelty of the work lies in an integrated approach to analyzing the use of AI in the archival field, identifying problematic aspects of archive digitalization, and proposing automation of the processes of storing, processing, and searching archival data. It is concluded that artificial intelligence technologies can significantly improve the efficiency of archives, providing accelerated document processing, intelligent classification, data protection and convenient access to information. In addition, the need to develop new algorithms based on machine learning is emphasized, which will improve the recognition of handwritten texts, the processing of corrupted documents and multilingual archival materials. The introduction of such technologies is becoming an important part of the digital transformation strategy of archival affairs and plays a key role in preserving historical heritage.

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