Regulatory and Legal Framework, Research, and Prospects for Artificial Intelligence Implementation in Archival and Library Affairs in Ukraine: an Analytical Review
DOI:
https://doi.org/10.15407/scine21.05.018Keywords:
artificial intelligence, libraries, archives, AI development concepts, AI implementation strategies, intelligent agents, artificial neural networksAbstract
Introduction. Archives and libraries represent the world’s largest repositories of historical and cultural documents, which have been increasingly digitized. This transformation has turned them into large-scale data centers that, on one hand, require advanced software tools for efficient processing and, on the other, hold potential as powerful knowledge sources for artificial intelligence (AI) applications.
Problem Statement. In Ukraine, the implementation of AI in archival and library affairs has only recently entered the stage of active discussion. A key challenge has been to analyze international experience and to determine strategic approaches for further AI development in this domain — whether through the creation of specialized archival and library neural networks, individual artificial neurons or software tools, or through the adaptation of existing AI systems.
Purpose. This study has aimed to assess the state of AI use in archives and libraries globally and in Ukraine,
and to identify directions for further AI development in these areas.
Materials and Methods. The research has employed methods of systems analysis, synthesis, and comparative
review of documentary sources and scholarly works in the field of AI.
Results. The analysis has confirmed that a general legal framework for AI implementation has been established. A review of scientific research on AI use in leading archives and libraries worldwide has shown that Ukraine remains at an early stage of adoption. Addressing this gap requires either developing specialized AI solutions for the archival and library sectors or adapting general-purpose AI systems. The study has examined the experience of leading archives and libraries internationally and in Ukraine, as well as AI-related projects of international organizations — such as the UN Library Network and EU national libraries — in which the Vernadskyi National Library of Ukraine has participated. These cases have demonstrated promising prospects for addressing current challenges through pilot projects.
Conclusions. International experience and existing research have indicated that the archival and library sectors require the development of specialized artificial neural networks, a task achievable only through the active initiatives of librarians and archivists.
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