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New AI tools generate hypotheses, design experiments, and find patterns in data—transforming how scientists make discoveries across every field.

New AI tools generate hypotheses, design experiments, and find patterns in data—transforming how scientists make discoveries across every field.

The two-year fellowship supports PhD researchers across law, medicine, physics, statistics, education, and engineering.

Benchmarks — the standardized tests that rank AI models on safety, bias, and reasoning — drive markets and shape regulation. New Stanford research finds they often don't measure what they claim to.

In a new series called Prompt Response, Stanford’s Surya Ganguli, Diyi Yang and Rob Reich examined emergent agent behavior, recursive self-improvement, independent evaluation and whether a kill switch can make advanced AI safer.

Building an AI pipeline to comb through millions of local statutes, researchers at Stanford Law School turn a spotlight on unsavory laws still on the books in communities across the country.

A new Stanford-led study finds that X’s “For You” algorithm mistakes outrage for interest – and fills your feed accordingly.

A new Stanford study shows data brokers are making it difficult for consumers to submit privacy requests and failing to report how many privacy requests they receive.

Over three years, we’ve built progressively harder, more realistic benchmarks for medical AI. Here’s what we learned.

It's one of AI policy's hardest unsolved problems. Expert Deb Raji joins Stanford HAI to find answers that move beyond principles and into practice.

Analyzing thousands of human-AI conversations, a new study shows that people are turning to chatbots for increasingly critical tasks – and that productive outcomes depend on how the collaboration unfolds.

How managers introduce and support AI determines whether workers engage with or resist the technology.