Benchmarks — the standardized tests that rank AI models on safety, bias, and reasoning — drive markets and shape regulation.

As the U.S. federal government continues to move toward greater adoption and governance of AI, there is a vital need for transparent and effective leadership and implementation of related executive ...

This report assesses America's ability to develop, attract, and retain STEM talent and warns that its advantages over China are narrowing rapidly. The United States-China technology competition is ...

In this paper, HAI Associate Director and Senior Fellow Rob Reich and UC Berkeley School of Information Professor Deirdre K. Mulligan provide concrete recommendations to the California Department of ...

This session takes on the argument running underneath most current AI policy debates: whether the technology poses a genuine risk to humanity, and whether its pace of development can or should slow.

Hallucinations in AI refers to instances where an artificial intelligence system generates information or responses that are incorrect, misleading, or entirely fabricated but presented as factual.

As AI moves beyond language into systems that can perceive, understand, and act in the physical world, a new frontier is emerging: world models—AI systems that build and maintain working ...

AI Benchmarks are standardized tests used to measure and compare how well AI systems perform on specific tasks, like answering questions, recognizing images, writing code, or following instructions.

1. Industry continues to make significant investments in AI and leads in notable AI model development, while academia leads in highly cited research. Industry’s lead in notable model development, ...

A biweekly digest of cutting-edge research, human-centered perspectives on AI, community highlights, educational opportunities, grants, and events to help you stay connected to Stanford's AI and data ...

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