AI for Access is a new project funded by the Society of American Archivists Foundation (SAAF) sponsored by the . Our research team is investigating how the archival community is using artificial intelligence and machine learning (AI/ML) tools to enhance and facilitate access to digital archival materials. As AI technologies evolve and digital collections grow exponentially, understanding their impact and potential in archival settings is more crucial than ever.
We invite you to participate in our survey, which aims to gather insights on current and planned AI/ML use in archives, as well as perceptions of these tools. Your input will help shape recommendations for the archival community, contribute to AI-related advocacy efforts, and inform work with the Society of American Archivists (SAA) to refine key AI/ML terminology. We are seeking input from all viewpoints including those who do not currently or are not planning to use AI tools to get a sense of the current state of adoption as well as those excited by the new technology.?
Survey Link:Estimated Time to Complete: 20-30 minutes Deadline: April 14, 2025
Your participation is invaluable in helping to demystify AI in archives and advocate for ethics and other considerations around its adoption. Please feel free to forward this survey to colleagues who may also be interested. In an effort to limit bot responses, we ask you to not post this survey link to social media at this time.
Thank you for your time and contribution!
Best regards,
Steven Gentry
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Steven Gentry
Archivist for Archival Processing
he/him/his
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Bentley Historical Library
1150 Beal Avenue
Ann Arbor, Michigan 48109-2113? USA
734-936-5666
@UmichBentley??
The Bentley Historical Library acknowledges that coerced cessions of land by the Anishnaabeg and Wyandot made the University of Michigan possible, and we seek to reaffirm the ancestral and contemporary ties of these peoples to the lands where the University now stands.