New research funded in part by a HAI grant reveals that Facebook users are exposed to crime posts that overrepresent Black suspects by 25 percent relative to arrest rates.

Here are the workshops, competitions, and posters from Stanford researchers at this year’s machine learning and computational neuroscience conference.

The bill requires fundamental changes to platform design and personalization settings.

A team of data scientists apply machine learning and computer vision to create an index that tracks neighborhood inequality.

Scholars envision a future where people and machines are collaborators, not competitors.

Stanford HAI’s upcoming conference challenges attendees to rethink AI systems with a “human in the loop” and consider a future where people remain at the center of decision making.

Natural language processing assists pediatricians in drawing the fine line between a teen’s right to privacy and a parent’s right to know.

Predicting initiation points based on voice intonation instead of silence detection could lead to the next generation of voice assistant technology.

The apps and tools we use are not neutral, says Stanford HAI’s new visiting artist.

The Texas social media law moves forward, TikTok agrees to audits, and an EU proposal causes controversy over open-source models.

To address climate change, Stanford engineer Jef Caers is developing an AI system to help make optimal planning decisions sooner rather than later.

A new study examines the trends in 4,500 Stanford inventions created since 1970.