Finding that you are buying a lot of AI-generated slop for your library’s collections? Want to make sure your budget is being spent wisely? This program, brought to you by folks from the acquisitions, cataloging, and instruction departments, will review helpful tips on how to spot AI in images, writing, and videos, including red-flags for book purchasing. We will also discuss how to make selection policies for deciding when to say no to AI materials. Wrapping up, we will have a group discussion on guidelines for your own library’s policies.
Presenters:
Natasha Finnegan is the Cataloging and Collection Management librarian at Salisbury University. After graduating from San José State University with an MLIS in 2022, her recent projects focused on artificial intelligence ethics, information literacy pedagogy, and serving diverse communities in information spaces.
Emily Zerrenner is a Research and Instructional Services librarian at Salisbury University in Maryland. She is the liaison to subjects like Public Health, Environmental Studies, Mathematics, and Exercise Science. She has a lot of interests – that’s why she’s a librarian – but some that she has been researching lately include physical data visualization, data humanism, GenAI, reference services, and the role of library student workers.
Sara Wheatley Harwood is the Collection Operations & Data Specialist at Salisbury University. Since graduating from Drexel University in 2020 with a Master of Library and Information Science her recent projects have focused on identifying generative AI and using data to analyze library collections.
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