Session 12: AI for Access: A Focus on the Mid-Atlantic

dc.contributor.authorBaker, Dara
dc.contributor.authorVelasquez-Fidler, Christina
dc.contributor.authorWachtel Litwin, Jennifer
dc.date.accessioned2026-05-29T15:58:55Z
dc.date.issued2026-05-01
dc.description.abstractThe Digital Library Federation Born-Digital Access Working Group’s Visioning Access Systems discussed the state of artificial intelligence (AI) and machine learning (ML) technologies in archives in the Mid-Atlantic region. This session, drawing on data from the “AI is for Access” national survey, illuminated how archival workers in the Mid-Atlantic are adopting or rejecting AI/ML. Specific topics discussed include how archival workers and institutions are using (or not using) these technologies, what kinds of tools are currently being used, and respondents’ perceptions – both positive and negative – about these tools and their use in the future. By providing data-driven analyses and trends, the presenters aimed to give attendees information they can bring back to their organizations to navigate the challenges and opportunities afforded by AI/ML head-on.
dc.identifierhttps://doi.org/10.13016/elys-alon
dc.identifier.urihttp://hdl.handle.net/1903/35322
dc.titleSession 12: AI for Access: A Focus on the Mid-Atlantic
dc.typePresentation

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MARAC 2026_AI is for Access_to share.pdf
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