Metadata and AI: Navigating Opportunities, Risks, and Skills Gap

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?
3. What responsibilities do 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.

Schedule

Registration

Use discount code DCMI26 at registration for free admission.