How can ChatGPT and other AI content creators help us in our data creation, management, and maintenance? Does AI have a place in our cataloger’s “toolbox”? Can AI replace us?

Join Robin Fay in dissecting what ChatGPT can do with our data and how it can help our work, where there are opportunities, where we should proceed with extreme caution, and what is just beyond its current ability. Bring your questions as we explore the promises and pitfalls of AI generated metadata for textual works and images. 

We'll discuss how we have harnessed the power of automation since well... the 1970s and the rise of MARC (MAchine Readable Cataloging) and how resource description metadata work remains at the intersection between users, data, and our own library work. We'll explore the impact of changing standards, data modeling (LRM), systems migrations, user expectations, and technological innovation on our work as practitioners of data management.  Practical tools for harnessing the power of automation will be shared, including how to experiment with AI metadata projects.  

Resources: Slides, AI resources, automation tools, examples of AI metadata, and much more! 

Audience: All library staff ; No technical services experience is needed for this session which will be of interest to all technical services staff, key stakeholders and decision makers in libraries, including Directors and Managers, as well as any library staff interested in data, technical services, or big changes on the way that will impact all libraries! 

Biography: Robin Fay is an Instructor and Metadata Librarian who has worked with all types of libraries and staff at all levels including the Georgia Public Library System, the National Agricultural Library, Orbis Cascade Alliance, the Digital Public Library of America, Omeka.org, and many more! Her interests are in immersive technologies and the intersection of machine learning, data (including cataloging!), and us! Feel free to connect with Robin at linkedin or elsewhere. https://linktr.ee/robinfay