# Fei-Fei Li Fei-Fei Li (b. 1976) is a Chinese-American computer scientist at Stanford, best known for creating **ImageNet** — the massive labeled image dataset whose 2012 competition (won by the deep Convolutional Neural Network AlexNet) catalyzed the entire [[Deep Learning]] revolution. Her insight that data, not just algorithms, was the bottleneck reshaped the field. She is a leading figure in [[Computer Vision]], co-directs Stanford's Institute for Human-Centered AI (HAI), and briefly served as Chief Scientist of AI at Google Cloud. Li is prominent in AI **policy and governance** as an advocate for "human-centered AI," AI education, diversity in the field, and substantial public investment in AI research (a "national AI research cloud"). She is frequently consulted in US policy circles and represents a mainstream, institution-building position in AI governance — distinct from both the accelerationist and the doom-focused poles. ## See Also - [[Computer Vision]] — her field; ImageNet's domain - Convolutional Neural Network — the architecture ImageNet validated - [[Deep Learning]] — the revolution ImageNet sparked