The AI/ML era’s central problem is a metaphor: “Artificial Intelligence” borrows language built for one conscious mind speaking to another, and applies it to something that has no mind at all. This keynote traces how that metaphor shaped the culture-wide confusion around machine capability — and what gets lost when engineers and audiences alike stop noticing they’re speaking metaphorically.
A framework for grounding machine capability in reality: how to use these tools well, and how to recognize the traps — from anthropomorphized “hallucination” to mistaking pattern-matching for autonomy or creativity.
Track: Product & AI.