Fei-Fei Li is a computer scientist and Stanford University professor best known for creating ImageNet, the large-scale labeled image dataset that catalyzed the deep learning revolution in Computer vision. Born in China and raised partly in the United States from her teenage years, she earned a PhD at Caltech before joining Princeton and then Stanford, where she has spent most of her academic career.
ImageNet and its consequences
Starting around 2006, Li and collaborators built ImageNet, eventually comprising millions of labeled images across thousands of categories, motivated by the belief that progress in visual recognition was bottlenecked by data rather than only algorithms. The associated ImageNet Large Scale Visual Recognition Challenge became the field's central benchmark, and the 2012 edition, won decisively by AlexNet from Geoffrey Hinton's lab, is widely cited as the moment that convinced much of the computer vision community to adopt deep neural networks, a turning point often described as the start of the modern Deep learning era.
Stanford HAI and public advocacy
Li co-founded and co-directs the Stanford Institute for Human-Centered Artificial Intelligence (HAI), which studies the societal, ethical, and policy dimensions of AI alongside technical research, and she has been an outspoken advocate for diversity in the AI field, co-founding the nonprofit AI4ALL to broaden participation among underrepresented groups. She served a period as chief scientist of AI and machine learning at Google Cloud from 2017 to 2018, and testified before the U.S. Congress on AI policy issues including safety, competitiveness, and AI governance.
World Labs
In 2024, Li co-founded World Labs, a startup focused on "spatial intelligence," building AI systems intended to understand and generate three-dimensional environments and physical space rather than only text or flat images, an area closely related to research on world models and Embodied AI. The company drew significant early funding and attention, reflecting continued investor interest in extending generative AI beyond text and two-dimensional media into simulated 3D and physical settings, an ambition Li has connected to her long-standing view that vision and spatial understanding are foundational to general intelligence, not an afterthought to language. She has also written a memoir, "The Worlds I See" (2023), recounting her path from an immigrant childhood in New Jersey to the forefront of AI research, and has continued to serve on United States government AI advisory bodies.