A Stanford study found that Americans misjudge the climate impact of their personal actions but efforts to improve climate literacy that focus too narrowly on individual actions may inadvertently dampen public support for collective solutions. The findings point to a persistent tension in climate communication efforts: how to encourage effective individual behavior without undermining broader societal engagement.
With new investments in infrastructure, computing power, and cross-campus collaboration, Stanford is committed to developing AI that’s both powerful and principled. The 12 stories in this article highlight some of these major AI milestones.
Stanford researchers determined that many AI models fail in real-world scenarios because they learn "spurious correlations" from training data, a flaw that current benchmarks often overlook due to the "accuracy on the line" phenomenon. The researchers highlight three recommendations for reliable and safe AI, especially in safety-critical applications.
Researchers show how collecting fewer, higher-quality data points can speed simulation algorithms and produce better results. The method could impact fields from aircraft certification to climate modeling.
In this Q&A, Arianna Gleason discusses the technologies needed to make commercialized fusion energy a reality and how SLAC is advancing this energy frontier.
Bridging the gap between promise and practice, Jann Spiess, an associate professor of operations, information, and technology at Stanford Graduate School of Business, is exploring how algorithms can be designed to most effectively support — rather than replace — human decision-makers.
A team of researchers that includes Antonio Coppola and Matteo Maggiori, both scholars at the Stanford Institute for Economic Policy Research (SIEPR), have developed an interactive tool that tracks how companies around the globe are reacting to tariffs and other economic pressures.
This China Considered podcast from the Hoover Institution features Dr. Elizabeth Economy, Hargrove Senior Fellow and co-director of the Program on the US, China, and the World at the Hoover Institution with Michael Dunne, Chief Executive Officer of Dunne Insights LLC on the Chinese and global automotive industry.
Stanford researchers, led by Prof. Mykel Kochenderfer, are developing a framework to ensure autonomous systems, like drones and self-driving cars, are both safe and ethically responsible, addressing potential risks to society and individual privacy.
The increasing power and water demands of AI-powered data centers are examined, particularly their growing presence in the Western U.S. Are they a boon for communities, or a burden?
