Trustworthy Metadata in the Age of AI: Foundations and Practice
Ontologies, SHACL validation, automated subject indexing, and AI-assisted cataloging: moving metadata professionals from cautious observers to active knowledge engineers.
Charlene Chou is the Head of the Knowledge Access Department at New York University Libraries, where she oversees cataloging and metadata services and is Associate Director of the Dublin Core Academy. She has contributed to national and international standards for metadata interoperability through active service on various committees, including the PCC (Program for Cooperative Cataloging) Policy Committee, the PCC Task Group on AI and Machine Learning for Cataloging and Metadata, the RDA Steering Committee, the BIBFRAME Interoperability Group, and the Joint RDA Board and RSC Working Group on Artificial Intelligence. She is committed to conducting pilot projects on emerging trends and technologies. Her research interests focus on metadata management, the discovery of multilingual resources, natural language processing (NLP) models for subject indexing and semantic search, digital scholarship, and AI and metadata.
Explore the courses taught by Charlene Chou
Ontologies, SHACL validation, automated subject indexing, and AI-assisted cataloging: moving metadata professionals from cautious observers to active knowledge engineers.
A panel of practitioners and researchers on where AI is delivering for metadata work, the training and competency gap, and the ethical responsibilities of metadata librarians.