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! —----------------------------------------------------------- -------------------------------------------------- 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. -- Jen Litwin