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Stanford professors develop and use an AI teaching tool that can provide feedback on students’ homework assignments in...

Experts from psychology, neuroscience, and AI settle a seemingly intractable historical debate in neuroscience — opening...

This “severe” bias must be addressed before these language models become ingrained in real-world tasks.

A Stanford researcher makes the case that de-identifying health records used for research doesn’t offer anonymity and...

AI speech police are smart and fast, so why is there a gap between strong algorithmic performance and reality? 

Stanford researchers created a program to help when students get stuck in self-paced digital learning.

To encourage a human-centered workplace, we must rethink AI-driven automation, bossware, labor taxes, and corporate R...

Large language models could give us instant answers, but at a cost to trust. Stanford scholars propose an alternative.

Tech companies conduct hundreds of online experiments each day. A greedy algorithm might improve efficiency.

Experts critiqued smart cities, agtech, blockchain, and policing during Stanford's first Technology and Racial Equity...

Stanford launches an Ethics and Society Review Board that asks researchers to take an early look at the impact of...

CoronaCentral sorts through mountains of pandemic-related articles to help scholars and policymakers understand COVID’s...