The woman who taught computers to see now leads AI's next chapter

Fei-Fei Li is known as the 'godmother of AI' — and for good reason. In the early 2010s, she created ImageNet, a project that fundamentally changed how computers work. Think of it as a giant library of millions of labeled photos that taught AI systems to actually 'see' and understand images the way humans do. This breakthrough made possible everything from facial recognition to medical image analysis.

But Li's journey took a turn when she joined Google. After a conflict over the company's use of AI for military and defense applications, she decided to leave and start her own venture: World Labs. This new company represents her vision for AI's future — one where the technology benefits humanity rather than being used primarily for weapons or surveillance.

Li believes AI developers have a responsibility to think carefully about how their creations are used. She's not against progress, but she wants the industry to pause and ask important questions: Who benefits? Could this cause harm? What does society actually need? These aren't technical questions — they're human ones.

In many ways, World Labs is Li's answer to a problem that keeps her up at night. As AI systems become more powerful, the choices made by researchers and companies matter more than ever. Li is betting that we can build intelligent machines that make the world better, not just more efficient. Whether she succeeds could shape how AI develops for the next decade.