Fei-Fei Li

The only path to build intelligent machines is to enable it with powerful visual intelligence, just like what animals did in evolution.

Understanding vision and building visual systems is really understanding intelligence.

We will not only use the machines for their intelligence, we will also collaborate with them in ways that we cannot even imagine.

AI-assisted driving is a perfect platform for advancing fundamental human-centric artificial intelligence research while also producing practical applications.

There's a great phrase, written in the '70s: 'The definition of today's AI is a machine that can make a perfect chess move while the room is on fire.' It really speaks to the limitations of AI. In the next wave of AI research, if we want to make more helpful and useful machines, we've got to bring back the contextual understanding.

Making AI more sensitive to the full scope of human thought is no simple task. The solutions are likely to require insights derived from fields beyond computer science, which means programmers will have to learn to collaborate more often with experts in other domains.

We need to inject humanism into our AI education and research by injecting all walks of life into the process.

I believe AI and its benefits have no borders. Whether a breakthrough occurs in Silicon Valley, Beijing, or anywhere else, it has the potential to make everyone's life better for the entire world.

The day healthcare can fully embrace AI is the day we have a revolution in terms of cutting costs and improving care.

I believe in human-centered AI to benefit people in positive and benevolent ways.

Autonomous driving provides a scenario where AI can deliver smart tools for assistance in decision-making and planning to human drivers.

Governments can make a greater effort to encourage computer science education, especially among young girls, racial minorities, and other groups whose perspectives have been underrepresented in AI.