Fei-Fei Li

There is great potential to use computer vision technology in a constructive and benevolent way.

Yes, we have prototyped cars that can drive by themselves, but without smart vision, they cannot really tell the difference between a crumpled paper bag on the road, which can be run over, and a rock that size, which should be avoided.

The paradigm shift of the ImageNet thinking is that while a lot of people are paying attention to models, let's pay attention to data. Data will redefine how we think about models.

As nature discovered early on, vision is one of the most powerful secret weapons of an intelligent animal to navigate, survive, interact, and change the complex world it lives in.

When I was a graduate student in computer science in the early 2000s, computers were barely able to detect sharp edges in photographs, let alone recognize something as loosely defined as a human face.

I didn't make a lot of friends in high school. It's a cruel time, and I was very geeky.

I'm a go-getter. It's in my DNA. If I spend a lot of time lamenting on the difficulties, then it could be distracting.

I consider the pixel data in images and video to be the dark matter of the Internet.

We talk a lot about building benevolent technology. Our technology reflects our values.

I love Silicon Valley, but there is a dominant voice of, 'Tech is cool. Tech is geeky. Tech is a guy with a hoodie.'

Technology could benefit or hurt people, so the usage of tech is the responsibility of humanity as a whole, not just the discoverer. I am a person before I'm an AI technologist.

This is the world where our children will live, and technology should reflect that diverse world. With technology and a little love, we can make it a better place for them.