Artificial Intelligence

New Stanford research finds that students left alone with an AI tutoring platform spent just two to five minutes interacting with it each week, raising questions about access versus meaningful use.

Jennifer Eberhardt, Stanford psychology professor and faculty co-director of the SPARQ team, on new research using AI to audit body camera footage across Bay Area police departments.

From empowering patients to rethinking how doctors and AI work together, Stanford’s weeklong symposium surfaced the ideas most likely to shape medicine’s next chapter.

In a small pilot study, a Stanford Medicine-developed tool showed promise by decreasing physician burnout while maintaining safety.

A recent SIEPR Policy Forum cut through the noise on AI, stablecoins, and private credit – and what they actually mean for the U.S. financial system.

In an analysis led by Stanford Law’s Julian Nyarko, professors preferred AI-generated answers over those produced by their peers 75% of the time.

The Stanford Data Science initiative and Stanford Institute for Human-Centered AI will now be run under one roof.

Researchers are taking an evidence-based approach to AI’s influence on education, weighing the risks while prioritizing meaningful learning.

At a panel discussion, experts from across the institute explored AI, biotech advances, and geopolitical competition.

By tapping into the power of pretrained language models, GSB researchers are generating findings that are expansive, granular – and fast.