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Navigating AI-Generated Content in Collections: Library-Vendor Collaborations
Abstract
This presentation is an update from the topic introduced at the August 2025 Satellite Meeting on Artificial Intelligence, Bibliographic Control and Legal Matters in Astana, Kazakhstan. Academic librarians worldwide face a growing challenge: identifying AI-generated content infiltrating collections. Librarians recently discovered that publishers repackaged existing materials as machine-generated summaries within ebook packages, highlighting concerns for collection development staff managing hybrid human-AI content with constrained resources. The presenters share library and vendor responses to these challenges, reflecting on AI’s impacts on service delivery, interoperability, and user engagement. They will share what institutional strategies were explored, including new policies or guidelines, and collaboration essential for detecting machine-generated materials. GOBI's response, shaped by direct library feedback, includes new definitions for AI tags and additional services designed to help libraries detect, search, and manage both human-written titles about AI and machine-generated materials. This presentation will include the global reception to GOBI’s tool, demonstrating its potential for enhancing bibliographic transparency. We will facilitate a dialogue for individuals from libraries, vendors, and publishers about adapting library practices for an AI-integrated future and strengthening vendor-library partnerships, while maintaining the quality of a library’s collection and patron trust. We hope to hear strategies from other collections librarians and bibliographers in helping users identify machine-generated content.
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