Evidence receipt / evaluation
Published · transcript-backedDr. Fei Fei Li: evaluation
16 Nov 2025 Lenny's Podcast The Godmother of AI on jobs, robots, and why world models are next | Dr. Fei-Fei Li
“We also actually put a very strong focus on policy because when we started HAI, I realized that Silicon Valley did not talk to Washington DC and or Brussels or other parts of the world.”
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Everything needed to verify it.
- Speaker
- Dr. Fei Fei Li
- Attribution
- Verified speaker
- Claim type
- evaluation
- Recorded
- 16 Nov 2025
- Publisher
- Lenny's Podcast
Transcript context
…HAI, Human-Centered AI Institute. What are you doing there? I know this is a thing you do on the side still. So yes, HAI, Human-Centered AI Institute was co-founded by me and a group of faculty like Professor John Etchemendy, Professor James Landay, Professor Chris Manning back in 2018. I was actually finishing my last sabbatical at Google and it was a very, very important decision for me because I could have stayed in industry, but my time at Google taught me one thing is AI is going to be a civilization of technology. And it dawned on me how important this is to humanity to the point that I actually wrote a piece in New York Times, that year 2018, to talk about the need for a guiding framework to develop and to apply AI. And that framework has to be anchored in human benevolence, in human centeredness. And I felt that Stanford, one of the world's top university in the heart of Silicon Valley that gave birth to important companies from NVIDIA to Google, should be a thought leader to create this human-centered AI framework and to actually embody that in our research education and policy and ecosystem work. So I founded HAI. Fast-forward, after six, seven years, it has become the world's largest AI institute that does human-centered research, education, ecosystem, outreach, and policy impact. It involves hundreds of faculty across all eight schools at Stanford, from medicine to education, to sustainability to business, to engineering, to humanities to law. And we support researchers, especially at the interdisciplinary area from digital economy, to legal studies, to political science, to discovery of new drugs, to new algorithms to that's beyond transformers. We also actually put a very strong focus on policy because when we started HAI, I realized that Silicon Valley did not talk to Washington DC and or Brussels or other parts of the world. And given how important this technology is, we need to bring everybody on board. So we created multiple programs from congressional bootcamp to AI index report to policy briefing, and we especially participated in policymaking including advocating for a national AI research cloud bill that was passed in the first Trump administration and participating in state level regulatory AI discussions. So there's a lot we did, and I continue to be one of the leaders even though I'm much less involved operationally because I care not only we create this technology, but we use it in the right way. Wow. I was not aware of all that other work you were doing. As you're talking, I was reminded Charlie Munger had this quote, "Take a simple idea and take it very seriously." I feel like you've done that in so many different ways and stayed with it and it's unbelievable the impact that you've had in so many ways over the years. I'm going to skip the lightning round and I'm just looking to ask you one last question. Is there anything else that you wanted to share? Anything else you want to leave listeners with?…
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