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Date of Award
5-6-2026
Document Type
Video Recording
Abstract
Academic libraries face increasing pressure to process growing and multilingual collections while maintaining high metadata quality standards. Cataloging units must manage persistent backlogs, large-scale data cleanup, and repetitive normalization tasks, all while meeting rising productivity expectations with limited staffing. This creates a constant tension between scale and quality in cataloging workflows. At the University of Miami Libraries, artificial intelligence is being explored as a tool to support, rather than replace, catalogers' expertise in addressing these challenges. This presentation highlights practical case studies where AI has been applied to metadata creation, data remediation, and transliteration for record creation. Examples include generating AI-based summaries for over 1,000 marine science theses to improve discovery, batch normalization of item descriptions, comparison of generative AI tools for bibliographic record creation, and experiments in Arabic transliteration. The session shares what worked, what failed, and where human review remains essential, offering attendees concrete ideas for low-risk AI experimentation that improves efficiency while preserving professional standards.
Recommended Citation
Vila, Jose and Yost, Kristina, "AI in Action: Practical Experiments in Cataloging at the University of Miami Libraries" (2026). 2026 Southeastern Conference (SEC) AI Library Summit. 21.
https://scholarsjunction.msstate.edu/sec-ai-2026/21
