Integrating AI and Facial Recognition in Digital Curation and Archival Preservation : Short Paper - iPRES 2025 - Wellington, New Zealand / Te Whanganui-a-Tara, Aotearoa
Abstract
This paper examines the role of artificial intelligence (AI) and facial recognition technologies in advancing digital preservation through archival curation, using the Digital Archives project at Oklahoma State University (OSU) as a central case study. As memory institutions digitize and scale their collections, AI provides powerful tools for metadata enhancement, improved access, and sustainable preservation strategies. OSU’s project deploys InsightFace and custom automation to identify individuals in over 60,000 historical photographs, bridging documentation gaps and fostering cultural and genealogical discovery. The project’s structured workflow—spanning input, processing, storage, and interface development—showcases how AI supports not only technical innovation but also inclusive, ethical, and community-centered practices. This work contributes to the discourse on responsible digital stewardship and affirms AI’s potential to create dynamic, accessible, and ethically sustained digital heritage collections.Details
- Creators
- Patrice-Andre (Max) Prud’homme
- Institutions
- Date
- 2025-09-01 00:00:00 +0000
- Keywords
- digital humanities
- Publication Type
- paper
- License
- http://creativecommons.org/licenses/by-sa/4.0/
- Download
- 233646 bytes