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Date of Award

5-6-2026

Document Type

Video Recording

Abstract

The University of Texas at Austin Libraries is using artificial intelligence to support metadata creation for large legacy music collections, including more than 300,000 CDs and LPs. This presentation traces the evolution of an AI-assisted cataloging project from early experimentation to a validated workflow that incorporates human review. It explores how AI is used to generate descriptive metadata and match records to external databases, what has been learned through testing, and how the project is being prepared for operational scale. Future directions include exploring robotics to automate scanning as part of an end-to-end workflow. Attendees will gain practical insights into scaling AI-driven metadata creation while maintaining quality and consistency.

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