[3][4][5][6] She is the Sequoia Capital professor of computer science at Stanford University and former board director at Twitter.

[10][11][12] In 2017, she co-founded AI4ALL, a nonprofit organization working to increase diversity and inclusion in the field of artificial intelligence.

[15] Li was named in the Time 100 AI Most Influential People list in 2023[16] and received the Intel Lifetime Achievements Innovation Award in the same year for her contributions to artificial intelligence.

[20] On August 3, 2023, it was announced that Li was appointed to the United Nations Scientific Advisory Board, established by Secretary-General Antonio Guterres.

[29] Li completed her senior thesis, titled "Auditory binaural correlogram difference: a new computational model for Huggins dichotic pitch," under the supervision of Bradley Dickinson, professor of electrical engineering.

[34] The institute aligns with Li's aims to advance AI research, education, policy, and oractice to improve the human condition.

[35] On her sabbatical from Stanford University from January 2017 to fall of 2018, Li joined Google Cloud as its Chief Scientist of AI/ML and Vice President.

[38][39] In September 2017, Google secured a contract from the Department of Defense called Project Maven, which aimed to use AI techniques to interpret images captured by drone cameras.

[40][41] Google told employees who protested the company's work on Project Maven that their role was "specifically scoped to be for non-offensive purposes.

Asked about those leaked emails, Li told The New York Times, "I believe in human-centered AI to benefit people in positive and benevolent ways.

[74] Li's research in computer vision contributed to a line of work called Natural Scene Understanding, or later, story-telling of images.

[76] In recent years, Fei-Fei Li's research work expanded to artificial intelligence in healthcare, collaborating closely with Stanford University School of Medicine professor Arnold Milstein.

[78] She teaches the Stanford course CS231n on "Deep Learning for Computer Vision,"[79] whose 2015 version was previously online at Coursera.

The board's primary aim is to offer independent perspectives on emerging trends that intersect science, technology, ethics, governance, and sustainable development.