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Fei-Fei Li
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Fei-Fei Li

Co-director of Stanford HAI; founder of World Labs

Created the ImageNet dataset that triggered the deep learning era, served as chief scientist of AI at Google Cloud, co-founded AI4ALL and Stanford's Institute for Human-Centered AI, and founded World Labs in 2024.

Websiteprofiles.stanford.edu
#human-centered AI#computer vision#spatial intelligence

Read them in their own words

Published elsewhere, not by me — so you get real context beyond the name and the title.

TalkTEDApril 2024

With Spatial Intelligence, AI Will Understand the Real World

Li explains, in plain terms, what it would take for machines to understand physical space the way people do.

Key arguments & positions

  • Argues AI should be developed human-centered: measured by whether it augments people, and governed with civil society at the table.
  • Says language alone is not enough for intelligence, and that spatial understanding of the physical world is the missing piece.
  • Advocates public compute and data resources so academia can do frontier-scale research, not only companies.

Accomplishments

  • Created ImageNet (2009) and ran the challenge that produced the 2012 deep-learning breakthrough.
  • Co-founded Stanford's Institute for Human-Centered AI and the nonprofit AI4ALL; former chief scientist of AI/ML at Google Cloud.
  • Founded World Labs (2024) to build spatially intelligent "large world models".

Papers & key writings

Links

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