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Using AI to Increase Your Intelligence & Enrich Humanity | Dr. Fei-Fei Li

Explore episode Aug 10, 2026

Where this was said

Social & Ethical Considerations for AI

At 1:25:00 · chapter starts 1:20:37

This chapter frames AI governance as a multi-stakeholder civilizational challenge. Fei-Fei Li recounts why she left Google and returned to Stanford in 2018 — she could see the AI acceleration coming and knew it needed a framework beyond industry self-regulation. She draws an explicit parallel to the biological sciences: no researcher can casually run a human subjects experiment without IRB approval, and professional norms prevent even technically feasible but dangerous experiments (like inserting a functional rabies virus into Drosophila). AI needs equivalent layers: professional ethics built into computer science education, industry standards, government regulation (especially at the FDA for health-adjacent AI), and genuine public participation. The most dangerous scenario, she argues, is the current one: a handful of industry insiders deciding what's good for society based on market incentives that are fundamentally misaligned with cultural values and human welfare.

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