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DTSTART:20261022T143000Z
DTEND:20261022T160000Z
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SUMMARY:Finding Aids as Data: Using AI for Archival Discovery
DESCRIPTION:\n\n\n\nAI can make large bodies of archival description 
 accessible to new forms of questioning across collections\, people\, 
 places\, subjects\, and relationships. It can also obscure the origins of 
 an answer\, flatten archival structure\, or present unsupported claims with 
 confidence. This workshop develops a practical approach to using AI in 
 special collections research while keeping evidence\, provenance\, 
 transparency\, and verification central. \n\nThe session places this 
 approach within Yale Library’s existing discovery landscape. Participants 
 will examine Quicksearch\, Archives at Yale\, and LUX as distinct systems 
 for locating and exploring collections\, then consider AI as an additional 
 discovery pathway with different capabilities\, assumptions\, and 
 limitations. Commercial and institutionally hosted tools will be considered 
 alongside the possibility of running a model locally\, with attention to 
 privacy\, control\, and the reliability of results. \n\nUsing a prepared 
 Visual Studio Code environment\, the instructors will demonstrate 
 AI-assisted inquiry across more than 6\,000 published finding aids in Yale 
 Library’s public EAD3 dataset. The environment includes context specific 
 to archival description and the dataset\, helping the system interpret 
 collection structures\, retain connections to supporting records\, and 
 produce results that can be inspected and verified. Participants may follow 
 the guided demonstration directly or work alongside selected portions on a 
 laptop.\n\nInstructors: Sandrine Guérin\, Processing Archivist\, 
 Beinecke/Yale Special Collections\n\n                   Will Nyarko\, 
 Metadata Specialist\, Special Collections Metadata 
 Services\n\n\n\nAttendees will learn how to:\n\n\n	Explain how 
 Quicksearch\, Archives at Yale\, LUX\, AI tools\, and library staff can 
 each support different parts of archival research. \n	\n	Describe what 
 would be needed to apply the same general approach to another library 
 dataset or research interface. \n	\n	\n	Decide when to revise a question\, 
 consult the original finding aid\, try another discovery tool\, or ask 
 library staff for guidance \n	\n	\n	Check AI-generated answers against 
 finding aids and other source records\, paying attention to provenance\, 
 archival context\, and uncertainty. \n	\n	\n	Assess whether an AI tool is 
 likely to answer a research question based on the information\, context\, 
 and tools available to it. \n	\n\n\nAudience: Students\, researchers\, and 
 library staff\n\nRegistration: Yes\n\nWorkshop Incentive Program: Any 
 student who attends at least 3 library workshops this semester will be 
 eligible to receive a FREE Yale Library tote bag. Learn more.
LOCATION:Poorvu Center\, Central Campus
ORGANIZER;CN="Yale Library Events .":MAILTO:yalelibraryevents@yale.edu
CATEGORIES:AI (Artificial Intelligence), Research Skills, Special Collections
CONTACT;CN="Yale Library Events .":MAILTO:yalelibraryevents@yale.edu
STATUS:CONFIRMED
UID:LibCal-17499042
URL:https://schedule.yale.edu/event/17499042
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