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This year’s winners propose innovative, bold ideas pushing the boundaries of artificial intelligence.
This year’s winners propose innovative, bold ideas pushing the boundaries of artificial intelligence.


Decision-support tools for helping physicians follow clinical guidelines are increasingly using artificial intelligence, highlighting the need to remove bias from underlying algorithms.
Decision-support tools for helping physicians follow clinical guidelines are increasingly using artificial intelligence, highlighting the need to remove bias from underlying algorithms.


In healthcare, predictive models need to be more than good predictors. Stanford scholars suggest a framework for determining a model’s worth.
In healthcare, predictive models need to be more than good predictors. Stanford scholars suggest a framework for determining a model’s worth.


A Stanford researcher questions the need for generalizable models and proposes instead sharing recipes for creating useful local models.
A Stanford researcher questions the need for generalizable models and proposes instead sharing recipes for creating useful local models.

“The beauty of what we’re doing at these interdisciplinary AI intersections is that we’re really building things that haven’t existed before,” says the Shriram Faculty Fellow.
“The beauty of what we’re doing at these interdisciplinary AI intersections is that we’re really building things that haven’t existed before,” says the Shriram Faculty Fellow.

Hundreds of millions of people use social media in the U.S. A computational social scientist explains how to harness the technology to measure mental and physical well-being.
Hundreds of millions of people use social media in the U.S. A computational social scientist explains how to harness the technology to measure mental and physical well-being.
