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Using AI to Increase Your Intelligence & Enrich Humanity | Dr. Fei-Fei Li
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Social & Ethical Considerations for AI
At 1:22:50 · 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 [1] — Fei-Fei Li "What I would not like to see is one person or a few people coming from industry and telling everybody what to do. I think that will be dang…" 1:22:50 . 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.
Prompting AI effectively is a skill that should be taught in K-12. The best prompter in history? Socrates. His method of relentlessly asking precise questions to uncover truth is exactly what powerful AI interaction looks like — and schools should explicitly teach it.
The worst AI outcome for young people isn't cheating on homework. It's that passive, mindless consumption strips away the motivation and agency their brains need to develop. The second worst outcome is banning AI from classrooms entirely. The winning path is giving students AI-powered agency.
