Following up on a 2025 survey that explored how library workers use AI tools, OCUL has released an in-depth informational analysis of recent focus groups that asked participants to share their experiences and perspectives on AI and machine learning in academic libraries. Read the report for a look into the ethical considerations, risks, and opportunities that library workers feel AI and machine learning tools offer – in their day-to-day work and for students and researchers.
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In this upcoming AI Exchange session led by Digital Technologies Development Librarian MJ Suhonos, discover Annif, the open-source tool for automated subject indexing, and discuss its potential uses in existing cataloguing practices.
The application period for 2027 OCUL Visiting Researchers is open until November 17. Library professionals from the consortium’s membership are invited to submit an application that aligns with OCUL strategic priorities and/or academic library services or librarianship.
OCUL has released its 2025-2026 annual report, highlighting the deep collaboration that powers the consortium.
The report celebrates progress made on four strategic plan priorities, new shared digitization standards for accessible content, programming to build AI readiness across academic libraries, and more.