Research explores AI's impact on archival reference practices, highlighting ethical responsibilities of archivists.
Current research into AI tools in archives has primarily focused on their utility in technical services and supporting collections management. Studies on using AI in search systems have largely focused on digital materials. However, archival reference practices have largely been developed with the assumption of guiding users to analog collections. Simultaneously, researchers are increasingly exploring AI tools for research and archival discovery and may be relying on chatbot suggestions without ever consulting archivists’ descriptions directly. Archivists, we believe, have a responsibility to understand how AI tools change reference interactions. We explore the ethical implications and archivists’ central role in continuing to support researchers as they develop “archival intelligence” in the context of generative AI.
No takes yet. Share an insight, caveat, or question.
Johnston et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: