Beyond the AI Divide: How Neuro-Symbolic Approaches Combine the Best of Both Worlds
Abstract
Recorded April 23, 2025
Hosted by Abby Covert & Larry Swanson
This conversation will explore the practical intersection of neural network approaches (LLMs/GPTs) with symbolic AI and knowledge structures (knowledge graphs and ontologies). We’ll engage participants in discussing real-world experiences, challenges, and successes they’ve seen when these worlds collide.
Key discussion points:
- What have you seen work (or fail) when combining traditional knowledge organization with AI?
- How are organizations balancing the flexibility of LLMs with the structure of knowledge graphs?
- Where do librarians, information architects and other knowledge workers fit in this evolving landscape?
- What practical challenges are you facing when implementing these hybrid approaches?
- How do we build teams that bridge the technical and information science disciplines?