As generative AI floods the publishing market, libraries face a new frontier in collection management. This presentation explores the critical intersection of Artificial Intelligence and collection development, addressing the fundamental question: Should we include AI-written books in our stacks? We will dive into practical strategies for identifying AI-generated content using specialized checklists and red-flag indicators. Beyond identification, we will discuss the policy implications for your library—examining whether your current Collection Development Policy is equipped for this shift or if new standards for "quality" and "authorship" are required. The session covers the entire workflow of a suspected AI book, from the selector’s decision to buy or bypass, to cataloging options and MARC record notations, and the ethical implications of creating an original bibliographic record to add to OCLC. We will also share templates for communicating with requestors and discuss the ethics of warning the broader community through reviews. Attendees will leave with a draft AI checklist and a wealth of resources to help their institutions make informed, consistent decisions. Join us to discuss how we can maintain high collection standards while navigating the complexities of machine-authored literature.
