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Integration of Artificial Intelligence in Archives and Records Management: A SWOT Analysis of the ESARBICA Community
Abstract
The digital era generates exponential volumes of data, making the management and preservation of archives more complex. Nonetheless, by supporting conventional archival procedures, guaranteeing more effective retrieval, and improving decision-making, AI presents promising possibilities. This chapter explores the readiness of the ESARBICA member countries to integrate AI into ARM, using a SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis framework. With data collected from 34 interviewees, the study identified strengths and opportunities such as skilled ARM professionals, efforts in digital infrastructure improvement, data availability, strong regional leadership, and collaboration networks. However, AI skills gaps, fear of job displacement, outdated technological infrastructure, vulnerability to cyberattacks, fragmented research efforts, resistance to change, inadequate infrastructure, and regulatory concerns hinder AI adoption. The findings accentuate the need for capacity building, policy development, and strategic investment to enhance AI adoption.
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