Stanford’s Fei-Fei Li is pushing the tech industry to build humanity into AI models

A codirector of the university’s influential Institute for Human-Centered AI, Li has been a key voice for safety and alignment amid this year’s ‘AI boom.’

Years before generative AI became the buzziest term in tech, there was a smaller wave of interest that hit around 2012, back when the industry was achatter about AI image classifiers (that is, models that could recognize and label images). That year, a neural network called AlexNet beat out existing methods of classifying images by a wide margin. AlexNet and its successors were only possible because someone built a massive image dataset to teach them—that was ImageNet, a project started back in 2006 by Fei-Fei Li, then an assistant professor at Princeton. Suddenly everyone was talking about “deep learning.”

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