Dublin Core Academy: Metadata and AI: Navigating Opportunities, Risks, and Skills Gap

Description

In the age of Artificial Intelligence (AI), there is widespread anticipation of AI's transformative impact across the global information landscape. The enthusiasm for AI-driven metadata solutions is genuine, but it is tempered by unresolved questions over their practices. This panel brings together practitioners and researchers for a conversation about where AI is delivering (or not), why some metadata professionals feel that they are being left out of implementation decisions that directly affect them, and what the field needs to do to move from cautious observer to active participant. Panelists will address three questions: 1) Where is AI proving its value, and what would genuinely change that assessment? 2) Who owns the training and competency gap and are we preparing for the future? And 3) what responsibilities metadata librarians carry around bias and ethics that others do not? The conversation is grounded in a moment when major institutions like the PCC, IFLA, OCLC and ACRL are actively defining what responsible AI practices and their integration into metadata workflows look like.

Panelists:

• Ying-Hsang Liu, Director, Dublin Core Academy; Researcher, Chemnitz University of Technology (Germany)
• Charlene Chou, Associate Director, Dublin Core Academy; Head of Knowledge Access, New York University Libraries (USA)
• Terry Reese, the Author of MarcEdit Development; Assistant University Librarian for Digital Strategies and Services, Arizona State University (USA)
• Heather Moulaison-Sandy, Editor-in-Chief of Cataloging & Classification Quarterly; Associate Professor, The iSchool at the University of Missouri (USA)
• Bartłomiej Włodarczyk, Co-Chair, Metadata and AI Task Group of the DCMI Education Committee; Assistant Professor, University of Warsaw (Poland)