HAI founded 2018 at Stanford
Dr. Fei-Fei Li returned from Google and founded Stanford's Human-Centered AI Institute (HAI) in 2018 to address the societal implications of advancing AI.
Snapshot · Huberman Lab
Using AI to Increase Your Intelligence & Enrich Humanity | Dr. Fei-Fei Li
Explore episode
Aug 10, 2026
Where this was said
Intuition, Motivation & Human States Beyond AI
At 1:14:24 · chapter starts 1:07:38
Andrew Huberman raises three human internal states — intuition, motivation, and emotion — and asks whether AI can or should replicate them. Fei-Fei Li offers a careful two-tier answer on intuition: the expressible kind ('I'm a Stanford professor, what should I do about X?') is just context, already handled well by AI. The deeper kind — shaped by hormones, breakfast, a subconscious mood — has no sensory channel feeding it to any machine. It is, she says, simply inaccessible [1] — Fei-Fei Li "When the machine says 'I'm sorry you're so sick today,' it's very different from how your friend says it to you. Because the machine said t…" 1:18:06 . On motivation, she notes that ChatGPT's different 'thinking modes' could superficially be labeled urgency or motivation, but this is just different mathematical objective functions — dry, not deep. The most powerful moment comes when she turns to emotion: when a machine says 'I'm sorry you're so sick today,' it is pattern-matching from training data. When your friend says it, they have felt pain themselves, they genuinely want your well-being, they are using something like mirror experience. That difference, she insists, must never be obscured from the public.
AI Can't Access Your Gut Feeling
Surface-level intuition — the kind you can describe in words — is just context, and AI already handles that. But the deeper kind: the feeling shaped by what you ate, your hormones, and a mood you can't name? That has no sensory apparatus feeding it to any machine. It's inaccessible, and will remain so until brainwave-level sensors exist.
The AI Race to Govern Itself: Multi-Stakeholder or Bust
Fei-Fei Li went back to Stanford from Google in 2018 specifically to build a multi-stakeholder governance framework for AI. Her argument: market forces are not societal norms. Just as biology uses IRBs and cars have safety laws, AI needs layered oversight from educators, governments, and the public — not just a few industry titans.
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