Academic libraries are home to collections that span different time periods, languages, and formats. Making these collections accessible requires extensive time and specialized knowledge, and when these are in short supply, valuable resources may go under- or undescribed for long periods of time. Is there a role for AI tools in catching up on cataloguing, or doing a first pass at describing resources that are without metadata?
The latest post in our AI Tools for Academic Libraries series offers an overview of the generative AI tools tested as part of the recently completed Government Documents project — one of the four pilot projects of the OCUL AI and Machine Learning Initiative — and how they might apply to different library or metadata needs.
Read the full post: AI Tools for Academic Libraries: AI Metadata Extraction
AI Tools for Academic Libraries is part of the OCUL AI and Machine Learning Initiative. The blog series is a collaboration between OCUL and Choice, a publishing unit of the Association of College and Research Libraries, and is hosted on Choice's LibTech Insights content channel that examines the day-to-day impact of library and education tech on academic librarians.