Welcome to CNI’s Spring 2026 Membership Meeting in Salt Lake City, Utah, April 13–14; attendance is limited to member representatives, speakers, and invited guests.
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The University of Texas Libraries (UTL) entered into a charter program with ITHAKA in the fall of 2025 with the objective of testing Seeklight, JSTOR's artificial intelligence (AI)-based metadata generation tool. The goal for the first year of the charter was to test the quality of Seeklight's metadata output and its compatibility with multilingual and complex records. UTL evaluated the quality and changes over time over several months of testing, using born-digital and digitized records sourced from UTL's Benson Latin American Collection and Alexander Architectural Archive. The rubric used during this testing period is a four-point, subjective rating scale, which was developed by UTL's AI Metadata Creation Working Group during earlier tests with out-of-the box LLMs. This presentation will highlight our initial impressions of Seeklight's metadata output on a field-by-field basis. We will explore UTL's continued testing of Seeklight and its current ability to provide the subject knowledge and enhanced discoverability needs for archival records.
