Applications of Artificial Intelligence in Electronic Archives: A Systematic Review

Document Type : Original Article

Authors
Farhad Shirani 1
hanieh hodaei 2
1 Assistant Prof., Department of Electronic Commerce, Iranian Research Institute for Information Science and Technology (IranDoc). Tehran, Iran
2 MSc., Department of Business Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
10.22034/aimj.2025.527993.1638
Abstract
Today, the use of artificial intelligence in electronic archives has become a necessity, not just an optional option. With the increasing growth of data, the complexity of digital documents, and the need for fast and accurate access to information, artificial intelligence can play a key role in the optimization, maintenance, and exploitation of electronic archives. Artificial intelligence is increasingly integrated into electronic archives management and offers numerous benefits. This research was conducted to identify and introduce the most key applications of artificial intelligence in electronic archives. To achieve the research objective, the process outlined in the Cochrane Handbook for conducting a systematic review was used. initially, 160 works related to the topic of artificial intelligence and electronic archives were identified in databases. After removing duplicate works, 149 unique works remained. Then, the titles and abstracts of the articles were reviewed, and those that did not meet the research objective, namely "Investigating the application of artificial intelligence in electronic archives", were eliminated. At this stage, 120 works were selected from the databases. After this stage, the full text of the selected records was studied. To reduce bias, two researchers independently assessed the quality of the articles and low-quality articles were excluded. Finally, 30 works were selected as a sample for review. These works were then studied and the most key applications of artificial intelligence in electronic archives were extracted from their full text. A review of the collected articles showed that artificial intelligence tools and technologies can be used and utilized in six areas in electronic archives, including information discovery and monitoring, resource description and metadata generation, reference and research services, digital records storage and management, data security and protection, and improving efficiency and user experience. In the field of information exploration and monitoring, this technology can help with information search and retrieval, multilingual search, and improve recommendation systems. However, access to digital archival materials is still very complex for many reasons, such as privacy, data protection, sensitivity, national security, and copyright.

Keywords

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  • Receive Date 03 June 2025
  • Revise Date 20 October 2025
  • Accept Date 01 September 2025