Attempts to fix clinical prediction algorithms to make them fair also make them less accurate.

Wu Tsai Neurosciences Institute's William Newsome discusses motivation, consciousness, and the fascinating challenges of computational neuroscientists in this Director’s Conversation.

Over time, prediction algorithms become specialized for an increasingly narrow slice of the population, and the average quality of their predictions declines.

HAI’s fall conference explored opportunities at a critical three-way intersection of artificial intelligence, neuroscience, and psychology.

Tiny movements in Earth’s outermost layer tell us a lot about big quakes. New algorithms that work a little like human vision are now detecting these long-hidden microquakes.

The inaugural conference and launch of HAI’s Digital Economy Lab features experts from industry, government, and academia discussing AI’s impact on work and the economy.

Algorithms developed by Stanford researchers could one day help people with disabilities intuitively control robot arms to help with everyday tasks.

The HAI associate director testified to the House Budget Committee on everything from AI’s falling cost to AI-driven medical applications.

But a Stanford professor says the cat-and-mouse game is far from over.

A recent study shows AI-related job growth correlates to improved social welfare through economic growth.

Stanford scholars gathered to discuss nuclear stability, AI regulation, disinformation, and other major issues facing policymakers.

Stanford launches an embedded EthiCS program to help students consistently think through the common issues that arise in computer science.