HAI faculty share their predictions for the coming year.

Generative models took center stage this year, while policy inched forward and large models got an evaluation tool.

At HAI’s fall conference, speakers define what human-centered design looks like, challenge our current metrics of success, and call for “productive discomfort.”

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.

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.

The program will build a community of AI founders and mentors.

Stanford students from across disciplines will explore what it means to develop human-centered AI.

These scholars will join 11 returning fellows to study AI technologies, applications, and societal impact.

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

At HAI’s inaugural congressional conference, experts unpack what AI means for national security, the economy, healthcare, education, and more.

Our HAI community offered up the best books in AI that they’re reading.