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Six interdisciplinary research teams received a total of $3 million to pursue groundbreaking ideas in the field of AI.
Six interdisciplinary research teams received a total of $3 million to pursue groundbreaking ideas in the field of AI.


The Stanford HAI co-director has blazed a trail by keeping humans at the center of emerging technologies.
The Stanford HAI co-director has blazed a trail by keeping humans at the center of emerging technologies.


Stanford researchers explore how to build culturally inclusive and equitable AI by offering initial empirical evidence on cultural variations in people’s ideal preferences about AI.
Stanford researchers explore how to build culturally inclusive and equitable AI by offering initial empirical evidence on cultural variations in people’s ideal preferences about AI.

Stanford HAI Co-Director James Landay speaks about defining human-centered AI, HAI's accomplishments over the past five years, and broader societal impacts of AI technology.
Stanford HAI Co-Director James Landay speaks about defining human-centered AI, HAI's accomplishments over the past five years, and broader societal impacts of AI technology.

A cross-disciplinary group of Stanford students examines the ethical challenges faced by data workers and the companies that employ them.
A cross-disciplinary group of Stanford students examines the ethical challenges faced by data workers and the companies that employ them.


The values built into social media algorithms are highly individualized. Could we reshape our feeds to benefit society?
The values built into social media algorithms are highly individualized. Could we reshape our feeds to benefit society?
