Fei-Fei Li
Fei-Fei Li
Fei-Fei Li is a distinguished Chinese-American computer scientist renowned for her pioneering contributions to artificial intelligence (AI) and computer vision. Born on July 3, 1976, in Beijing, she immigrated to the United States at the age of 16. Li earned her Ph.D. in electrical engineering from the California Institute of Technology (Caltech) in 2005. She is best known for creating ImageNet, a large-scale visual database that revolutionized the field of AI by providing a benchmark for image recognition systems. Li has held significant academic and industry positions, including serving as the Sequoia Capital Professor in the Computer Science Department at Stanford University and as the Chief Scientist of AI/ML at Google Cloud .
Throughout her career, Li has been a vocal advocate for human-centered AI, emphasizing the importance of integrating human values into technological development. She co-founded AI4ALL, a nonprofit organization aimed at promoting diversity and inclusion in AI education by providing high school students, particularly young women and underrepresented minorities, with opportunities to engage in AI research . Li's work extends beyond academia; she has served on various advisory boards, including the United Nations Secretary-General’s Scientific Advisory Board, and has been recognized with numerous honors, such as election to the National Academy of Engineering and the National Academy of Medicine in 2020 .
Li's insights into AI and its societal implications are encapsulated in several of her notable quotes. She has remarked, “I believe in the future of AI changing the world. The question is, who is changing AI?”, highlighting the importance of diverse perspectives in AI development . Another significant quote is, “AI is everywhere. It's not that big, scary thing in the future. AI is here with us.”, reflecting her view that AI is already an integral part of our daily lives . These statements underscore her commitment to ensuring that AI serves humanity positively and inclusively.