Closing Keynote : Building Trust in AI Metadata Ecosystems
- Long title
- Beyond Autonomous Agents: Building Trust and Accountability in AI-Powered Metadata Ecosystems
- Starts at
- Fri, Oct 24, 2025, 09:00 GMT+2
- Finishes at
- Fri, Oct 24, 2025, 10:00 GMT+2
- Venue
- Auditorium
- Moderator
- Dan Albertson
Beyond Autonomous Agents: Building Trust and Accountability in AI-Powered Metadata Ecosystems
As AI agents increasingly mediate our interactions with information systems, metadata becomes the critical infrastructure enabling these autonomous systems to understand, navigate, and act upon human knowledge. This keynote examines the evolution from traditional metadata frameworks to agent-ready metadata ecosystems, addressing fundamental challenges in trust, accountability, and human agency.
Drawing from recent advances in multi-agent systems and responsible AI frameworks, I will explore how metadata standards must evolve to support not just discovery and interoperability, but also agent decision-making, provenance tracking, and ethical guardrails. The talk will present concrete examples from our work in the areas of agentic AI and responsible AI, demonstrating how metadata can serve as both the foundation for agent intelligence and the mechanism for ensuring these systems remain aligned with human values and societal needs.
-
Chirag Shah
University of Washington
Chirag Shah is a Professor of Information and Computer Science at University of Washington (UW) in Seattle. He is the Founding Director for InfoSeeking Lab and Founding Co-Director of Center for Responsibility in AI Systems & Experiences (RAISE). His research focuses on building, auditing, and correcting intelligent information access systems. Shah is a Distinguished Member of ACM as well as ASIS&T, and a Senior Member of IEEE. He frequently works with industrial research labs at places like Amazon, ByteDance, Getty Images, Microsoft Research, and Spotify on cutting-edge research problems.
Moderator
-
Dan Albertson
Department of Information Science, University at Buffalo, The State University of New York
Dan Albertson is a Professor at the University at Buffalo where he also serves as the Chair of the Department of Information Science. Dan's primary research area is interactive video retrieval. His research projects have examined: user interaction with video digital libraries, human factors affecting interactive video retrieval, user-centered digital video curation, and visual information seeking. Some new and future research directions include cultural competency in digital content, STEM learning in informal spaces, and social media and scholarly communications.