Academic workshop demonstrates AI applications in digitized historical records, highlighting frameworks to improve large-scale archival retrieval.
This workshop tackles the challenges of managing and leveraging large-scale digital archives. As historical records are increasingly digitized, the vast volume of data poses accessibility and usability challenges. The workshop highlights artificial intelligence (AI) and machine learning (ML) applications in transforming archival processing, analysis, and retrieval, with the aim of advancing the field through new frameworks, tools, and best practices. Featuring keynotes, oral sessions, and posters, the workshop fosters interdisciplinary collaboration among experts in information science, computer science, and digital humanities. Participants will explore the latest AI/ML advancements in digital archives and contribute to the future of archival science.
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Chen et al. (2024) studied this question.
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