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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.


A novel jury learning system lets content moderators explicitly choose which people to listen to when training machine learning systems to recognize toxic speech.
A novel jury learning system lets content moderators explicitly choose which people to listen to when training machine learning systems to recognize toxic speech.


The computer scientist discusses breaking down the power structures that use AI to exploit communities.
The computer scientist discusses breaking down the power structures that use AI to exploit communities.


Perspectives about the benefits and risks of release vary widely. We propose setting up a review board to develop community norms and encourage coordination on release for research access.
Perspectives about the benefits and risks of release vary widely. We propose setting up a review board to develop community norms and encourage coordination on release for research access.

“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.

“Leaky abstractions” are transforming software design and programming and leading to better, human-focused technology.
“Leaky abstractions” are transforming software design and programming and leading to better, human-focused technology.
