The latest post in our AI Tools for Academic Libraries blog series highlights how AI tools can support the generation of alt text for digitized material and where these tools can fit into a centralized workflow. Using OCUL's Accessible Content ePortal Remediation project as its starting point, the article provides an overview of three popular AI models for the varying quality of their AI-generated alt text.
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This update from the OCUL AI and Machine Learning Initiative highlights Phase 1 testing completed in the Enhancing Virtual Reference project, the extension of the popular AI Tools for Academic Libraries blog series, and how the initiative is helping elevate the profile of libraries as key partners in supporting responsible AI-enabled teaching and research.
Following up on a 2025 survey, OCUL has released an in-depth focus group report that offers one of the most comprehensive snapshots of academic library worker perspectives on AI currently available. 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.
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.