Fei Fei Li

We call it ethics and society review process, where even when researchers are proposing a research idea to receive funding from HAI, they have to go through a study or a review about what is the social implication? What is the ethical framework?

That's the very fundamental research example. Now, translate to a company. When we think about an AI product, let's say I would love for AI to detect skin condition for diseases. That's a great idea. But starting from your data, where do you curate data? How do you ensure data fairness?

That's the very fundamental research example. Now, translate to a company. When we think about an AI product, let's say I would love for AI to detect skin condition for diseases. That's a great idea. But starting from your data, where do you curate data? How do you ensure data fairness?

That's the very fundamental research example. Now, translate to a company. When we think about an AI product, let's say I would love for AI to detect skin condition for diseases. That's a great idea. But starting from your data, where do you curate data? How do you ensure data fairness?

Exactly. What about the scan of the face? And also the algorithm that detects melanoma, is it trained on... Just white folks? Right, exactly. Narrow type of skin or all skins? What's the impact of that algorithm?

Exactly. What about the scan of the face? And also the algorithm that detects melanoma, is it trained on... Just white folks? Right, exactly. Narrow type of skin or all skins? What's the impact of that algorithm?

Exactly. What about the scan of the face? And also the algorithm that detects melanoma, is it trained on... Just white folks? Right, exactly. Narrow type of skin or all skins? What's the impact of that algorithm?

So all those are messy human elements. And then you ask about legislation. Then we come to government. Of course. There is always a tension between how much regulation, how do you regulate? Is good policy only about regulating? For example, I firmly believe we actually should have good policy to rejuvenate our AI ecosystem, to make our AI ecosystem really healthy.

So all those are messy human elements. And then you ask about legislation. Then we come to government. Of course. There is always a tension between how much regulation, how do you regulate? Is good policy only about regulating? For example, I firmly believe we actually should have good policy to rejuvenate our AI ecosystem, to make our AI ecosystem really healthy.

So all those are messy human elements. And then you ask about legislation. Then we come to government. Of course. There is always a tension between how much regulation, how do you regulate? Is good policy only about regulating? For example, I firmly believe we actually should have good policy to rejuvenate our AI ecosystem, to make our AI ecosystem really healthy.

For example, right now, the gravitational pull is that all the resources that The data, the computation and the talents are all concentrated in a small number of large companies. It's all for commerce.

For example, right now, the gravitational pull is that all the resources that The data, the computation and the talents are all concentrated in a small number of large companies. It's all for commerce.

For example, right now, the gravitational pull is that all the resources that The data, the computation and the talents are all concentrated in a small number of large companies. It's all for commerce.

No, not at all.

No, not at all.

No, not at all.

My own lab at Stanford has zero NVIDIA H100 chips. There you go.

My own lab at Stanford has zero NVIDIA H100 chips. There you go.

My own lab at Stanford has zero NVIDIA H100 chips. There you go.

And it's not just competition. It's that the problems we work on are curiosity driven and sometimes they are really public good. For example, my own lab, we're collaborating with hospitals to prevent seniors from falling. That is not necessarily a commercially lucrative technology, but it's humanistically important. And universities do all kinds of work like that.