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Fei-Fei Li

Fei-Fei Li

AI Pioneer and Co-Founder of World Labs

Organization
Stanford University / World Labs

Position
Professor of Computer Science, Stanford University; Co-Founder & CEO, World Labs

πŸ‡¨πŸ‡³πŸ‡ΊπŸ‡ΈChinese-American
h-Index45
Citations15,000
Followers150K
Awards2
Publications8
Companies3

Intelligence Briefing

AI pioneer and creator of ImageNet, which catalyzed the deep learning revolution. Co-founded World Labs in 2024, a spatial intelligence startup valued at over $1B that launched its first product Marble. Named TIME Person of the Year (2025) and won the Queen Elizabeth Prize for Engineering (2025).

Expertise
Computer VisionMachine LearningSpatial IntelligenceCognitive NeuroscienceAI for Healthcare
Education

PhD, Electrical Engineering β€” California Institute of Technology

BA, Physics β€” Princeton University

Operational History

2025

TIME Person of the Year

Named TIME Person of the Year for contributions to AI and technology.

award
2025

Queen Elizabeth Prize for Engineering

Awarded for significant contributions to engineering and technology.

award
2024

Co-Founded World Labs

Fei-Fei Li co-founded World Labs, a spatial intelligence startup.

founding
2023

Launch of Marble

World Labs launched its first product, Marble, focusing on spatial intelligence.

research
2022

Director of Stanford HAI

Became Co-Director of Stanford's Human-Centered AI Institute.

career
2020

VP at Google Cloud

Served as Vice President at Google Cloud focusing on AI and machine learning.

career
2015

Director of Stanford AI Lab

Appointed Director of the Stanford Artificial Intelligence Lab.

career
2010

ImageNet Project

Launched the ImageNet project, a large visual database for use in visual object recognition software research.

research

AGI Position Assessment

Risk Level
LOW
MODERATE
HIGH
CRITICAL
Predicted AGI Timeline

Unknown

Believes in human-centered AI development. Advocates for AI that augments human capabilities rather than replaces them, with strong emphasis on diversity and ethical deployment.

Safety Approach

Believes in human-centered AI development. Advocates for AI that augments human capabilities rather than replaces them, with strong emphasis on diversity and ethical deployment.

Intercepted Communications

β€œAI should be human-centered, augmenting human capabilities rather than replacing them.”

Fei-Fei Li Interview2025-01-15AI Ethics

β€œThe future of AI is not about machines replacing humans, but about collaboration.”

Fei-Fei Li Keynote2025-06-10AI Collaboration

β€œDiversity in AI development is crucial for creating systems that serve everyone.”

Fei-Fei Li Speech2025-03-20Diversity in AI

β€œWe need to ensure that AI technologies are deployed ethically and responsibly.”

Fei-Fei Li Panel Discussion2025-04-05AI Ethics

β€œHuman-centered AI is the key to unlocking the full potential of technology.”

Fei-Fei Li Lecture2025-02-12Human-Centered AI

Research Output

2020s6
2010s1
2000s1

Spatial Intelligence and AI

2025

Artificial Intelligence Review

Explores the intersection of spatial intelligence and AI.

Advancements in Visual Recognition

2024

Journal of Machine Learning Research

Covers recent advancements in visual recognition technologies.

Ethics of AI: A Human-Centered Approach

2023

AI & Ethics

Discusses ethical considerations in AI development.

100 citationsView Paper

AI for Social Good

2022

Communications of the ACM

Highlights the potential of AI technologies to address social challenges.

150 citationsView Paper

The Role of AI in Healthcare

2021

Nature Medicine

Explores the applications of AI in healthcare settings.

200 citationsView Paper

Human-Centered AI: A New Frontier

2020

AI & Society

Discusses the importance of human-centered approaches in AI development.

300 citationsView Paper

Deep Residual Learning for Image Recognition

2016

IEEE Conference on Computer Vision and Pattern Recognition

Introduced ResNet, a breakthrough in deep learning architectures.

5,000 citationsw/ Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian SunView Paper

ImageNet: A Large Scale Hierarchical Image Database

2009

IEEE Conference on Computer Vision and Pattern Recognition

Pioneering work in computer vision that led to the deep learning revolution.

10,000 citationsw/ Alex Krizhevsky, Ilya Sutskever, Geoffrey HintonView Paper

Known Associates

Organizational Affiliations

Current

Stanford University

Professor of Computer Science

2015-Present

World Labs

CEO

2024-Present

Former

Google Cloud

VP of AI/ML

2017-2020

Commendations

2025

TIME Person of the Year

TIME

Recognized for significant contributions to AI and technology.

2025

Queen Elizabeth Prize for Engineering

Queen Elizabeth Prize

Awarded for outstanding contributions to engineering and technology.

Source Material

Dossier last updated: 2026-03-04