Matthew Hartman
Senior Lead, Library Applications
Stony Brook University
Michael Napoleone
Vice President, Product Management
EBSCO Information Services
Timothy Kohn
Resource Sharing Manager
Stony Brook University
Lucy Campbell
Electronic Resources Librarian, Assistant Head of Discovery
San Diego State University
Keven Jeffery
Digital Technologies Librarian
San Diego State University
As artificial intelligence (AI) continues to transform research and discovery, libraries and information providers are developing search tools that complement human expertise and enhance the discovery experience. This panel will compare different approaches to AI-enabled library search, focusing on architectures that leverage large language models to infer user intent, identify entities and constraints, and generate transparent, Boolean-compatible queries. The discussion will also explore the use of agentic frameworks to ground outputs and coordinate multi-step search workflows. Panelists will examine how natural language processing can map user questions to more relevant, context-aware results, and how principles of transparency, accessibility, and critical literacy are shaping system design and deployment. The conversation will consider how libraries can help guide the evolution of AI-powered search, address ethical and technical challenges, and develop frameworks that align these technologies with the mission and values of higher education.
https://library2.sdsu.edu/onesearch/ai/demo/
https://library.stonybrook.edu/about-search-ai/
https://connect.ebsco.com/s/article/Coming-soon-Introducing-EBSCOs-AI-Natural-Language-Search-Mode?language=en_US
