Stanford Institute for Human-Centered Artificial Intelligence

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.

A study of X finds that engagement-based feeds are more likely to push provocative content than posts aligned with users’ stated values.

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

Stanford research finds that users with limited social networks who seek emotional support from AI chatbots experience lower well-being.

Stanford researchers scanned 500 million words of state law to reveal the stunning growth of reporting requirements, and are now giving governments a tool to clean them up.

Seed grant opportunity: Stanford HAI seeks novel, ambitious human-centered AI and data science proposals aimed at generating initial results. Learn more and apply by Aug. 18.

AI developers rely on human experts to judge chatbot “safety” in mental health contexts – but experts rarely agree on what’s safe.

AI is helping scientists model human cells, decode the universe, and accelerate discovery across nearly every field. Here are some key innovations from across campus.

The combined institute will retain the Stanford HAI name and be helmed by computer scientist James Landay. Co-founder Fei-Fei Li takes on a new university-wide role as Special Advisor on AI and joins John Hennessy as co-chair of the advisory council.

As artificial intelligence transforms society, Stanford HAI’s James Landay, Fei-Fei Li, and John Hennessy explain why they’re merging HAI with the Stanford Data Science initiative, mobilizing “team science at scale,” and betting that academic openness will shape AI’s future.