Context Architecture for AI systems
Summary
AI systems are trained on data, but how they behave is very much influenced by context. The structures and relationships we encode into information shape how AI understands the world and responds within it. How that context is designed directly affects the quality, safety, and trustworthiness of AI. This talk reframes information architecture as behavior design. It explores how traditional IA practices become active inputs that guide AI behavior, highlighting the need to make information meaningful in context for both people and AI systems.
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