Worlds I See
by Fei-Fei Li
Stanford AI professor Fei-Fei Li's memoir from China to creating ImageNet, the dataset that launched modern deep learning and computer vision
"AI wasn't a phenomenon, or a disruption, or a puzzle, or a privilege. We were in the presence of a force of nature".
Editorial Summary
The Worlds I See is a story of science in the first person, documenting one of the century's defining moments from the inside. Stanford computer science professor and Stanford Human-Centered AI Institute Co-Director Fei-Fei Li chronicles her journey from Chinese immigrant to becoming the inventor of ImageNet, the critical large-scale dataset that contributed to the latest developments in deep learning and artificial intelligence. Known to the world as the creator of ImageNet, a key catalyst of modern artificial intelligence, Dr. Li has spent more than two decades at the forefront of the field, but her career in science was improbable from the start as her family faced a difficult transition from China's middle class to American poverty. Woven throughout the book are powerful themes of immigration, identity, mentorship and the ethical responsibilities of innovation, as Li makes a passionate case for building technology with care, inclusion, and compassion. It provides a riveting story of a scientist at work and a thrillingly clear explanation of what artificial intelligence actually is—and how it came to be, emotionally raw and intellectually uncompromising.
Perspective
"The Worlds I See reads as both a scientist's memoir and an argument about what AI is actually for — Li's journey from Chinese immigrant to ImageNet creator gives the technical history of deep learning a human center that most accounts completely lack. The distinctive contribution is the human-centered AI framework: Li's insistence that AI should augment human capabilities rather than replace human judgment comes not from policy preference but from lived experience of what technology can do when it is built with and for people. Readers who want an emotionally honest account of AI's development that holds both its wonder and its ethical stakes without flinching will find this the most complete personal testimony the field has."
Matched by concept and theme
