Fei-Fei Li helped make the visual world a shared resource for artificial intelligence. Her path began with physics at Princeton and doctoral research at Caltech, before leading through university laboratories, ImageNet and the development of spatial models. The images and categories assembled by her collaborators gave researchers a common basis for learning and comparison. They also raised questions about representation and the limits of what a label can tell us about a person. Alongside this scientific work, Li helped establish AI4ALL and Stanford’s institute for human-centred AI, connecting research with education and public responsibility. At World Labs, she and her co-founders are exploring environments that computers can generate and reconstruct. A proposed acquisition by AMD marks another possible transition. Across these settings, her career reveals the people, judgements and institutions behind machine vision, and the continuing challenge of deciding what it means for a computer to understand what it sees.
