[SOA] REMINDER: Participate in the "AI for Access" Survey by April 14, 2025

[Steven Gentry]

Hello,

This is a reminder to please consider completing the “AI for Access”
Survey, which closes on April 14, 2025
<https://berkeley.qualtrics.com/jfe/form/SV_6DKVbuk6lFO12tw>. We are
looking for (approximately) another 160 completed responses to meet our
project’s completion goal.

We welcome responses from any archival worker who has not yet completed our
survey, regardless of whether or not you currently use artificial
intelligence or machine learning. However, to ensure we have collected
responses from a variety of different archival workers, we are especially
interested in responses from the following:

   -

   Younger and early career archival professionals.
   -

   Archival workers from the American South and Midwest.
   -

   Archival workers from historically underrepresented groups.
   -

   Archival workers employed in galleries or museums.
   -

   Self-employed archivists as well as community archivists.

As always, participating in this study is completely voluntary.  Even if
you decide to participate now, you may change your mind and stop anytime.
Please also 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.

I have also copied our original message below, which provides context about
this project.

Thank you for your time and contribution, especially for those who have
already submitted responses!

Best regards,

Steven Gentry

—----------------------------------------------------------------------------------------------------------------------------

AI for Access is a new project funded by the Society of American Archivists
Foundation (SAAF) sponsored by the CLIR/DLF Born-Digital Access Working
Group (BDAWG) <https://www.diglib.org/groups/bdawg/>. 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: https://berkeley.qualtrics.com/jfe/form/SV_6DKVbuk6lFO12tw
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.
-- 
Steven Gentry
Archivist for Archival Processing
*he/him/his*

Bentley Historical Library
1150 Beal Avenue
Ann Arbor, Michigan 48109-2113  USA
734-936-5666
www.bentley.umich.edu
@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.*
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