Transforming digital archives management through artificial intelligence

Patrice-Andre Prud’Homme, Jeevithesh Cattamanchi Venu and Arundeep Bandaru
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Patrice-Andre Prud’Homme: University Archives, Oklahoma State University Library, USA
Jeevithesh Cattamanchi Venu: University Archives, Oklahoma State University Library, USA
Arundeep Bandaru: Wes Watkins Center, Oklahoma State University, USA

Journal of Digital Media Management, 2025, vol. 13, issue 4, 310-325

Abstract: This paper discusses the integration of artificial intelligence (AI) in managing and preserving digital archives at the Oklahoma State University Library. This project employs advanced deep-learning techniques to manage increasing volumes of digitised cultural heritage materials. The primary objectives include developing a robust model for photograph retrieval using facial recognition technologies, creating a dynamic user interface, annotating photograph records to fill metadata gaps, and validating the work. The project details how the implementation of a facial recognition pipeline is transforming the management and preservation of digital archives as it derives sustainable long-term value from the institutional archival corpus. It examines the impact of the project and key results, while also outlining new computational transformations to continuously improve digital archival practices, balancing innovation with ethical responsibility to ensure the long-term preservation and accessibility of cultural heritage materials. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/

Keywords: artificial intelligence; AI; automation; data management; cultural heritage; digital archiving; facial recognition; metadata (search for similar items in EconPapers)
JEL-codes: M11 M15 (search for similar items in EconPapers)
Date: 2025
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