ARCHIVING WITH AI.

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Bibliographic Details
Title: ARCHIVING WITH AI.
Authors: Enis, Matt
Source: Library Journal. Jun2026, Vol. 151 Issue 6, p30-33. 4p. 4 Color Photographs.
Subject Terms: *Artificial intelligence, *Libraries, *Archives, *Digitization, Archival materials
Company/Entity: University of Virginia
Abstract: The article discusses how artificial intelligence (AI) companies are partnering with libraries and archives by offering funding for digitization projects. Topics include a predictable consequence if libraries allow generative AI to ingest archival materials as training data without requiring provenance conditions, purpose of the Archival AI Protocol established by University of Virginia (UVA), and the role of Retrieval-Augmented Generation (RAG) in refining AI outputs.
Database: Education Research Complete
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Description
Abstract:The article discusses how artificial intelligence (AI) companies are partnering with libraries and archives by offering funding for digitization projects. Topics include a predictable consequence if libraries allow generative AI to ingest archival materials as training data without requiring provenance conditions, purpose of the Archival AI Protocol established by University of Virginia (UVA), and the role of Retrieval-Augmented Generation (RAG) in refining AI outputs.
ISSN:03630277