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.
In the latest industry brief, learn about how scholars are advancing more adaptive, assistive robotics and pushing forward autonomous technology.
In the latest industry brief, learn about how scholars are advancing more adaptive, assistive robotics and pushing forward autonomous technology.
Who Decides? Dealing with Online Toxic Speech by Selecting the Decision Makers
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.
Researchers study how humans and AI can write together by designing large interaction datasets.
Researchers study how humans and AI can write together by designing large interaction datasets.
Ambitious Brain Recordings Create Unprecedented Portrait of Vision in Action
Single-cell imaging across the brain’s visual cortex lets researchers track sensory processing from perception to action, resulting in new insights about the structure of neuronal signaling and new inspiration for computer vision.
Single-cell imaging across the brain’s visual cortex lets researchers track sensory processing from perception to action, resulting in new insights about the structure of neuronal signaling and new inspiration for computer vision.
The Time Is Now to Develop Community Norms for the Release of Foundation Models
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.
With the IQ-Learn approach, robots simply watch humans to learn how to behave.
With the IQ-Learn approach, robots simply watch humans to learn how to behave.
“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.
In Human-Centered AI, the Boundaries Between UX and Software Roles Are Evolving
“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.
Stanford faculty look back at 50 years of artificial intelligence advances.
Stanford faculty look back at 50 years of artificial intelligence advances.