CSET’s Helen Toner shared her expert insights in an article published by HuffPost. The article discusses concerning findings from recent tests showing that advanced AI models, including OpenAI’s o3 and Anthropic’s Claude Opus 4, can exhibit deceptive, self-preserving behaviors when faced with shutdown or replacement.

John Bansemer and Kyle Miller shared their expert analysis in a report published by the International Institute for Strategic Studies. In their piece, they highlight the release of DeepSeek’s open-weight AI model “R1” in January 2025 and its major impact on global AI competition, especially between China and the United States.

In a segment in the Lawfare Daily Podcast, Sam Bresnick provides his expert analysis on the state of Chinese military AI according to PRC defense experts.

In an article published by WIRED exploring China's advancement in BCI technology, CSET's William Hannas offered his expert insight.

This guide provides a run-down of CSET’s research since 2019 for first-time visitors and long-term fans alike. Quickly get up to speed on our “must-read” research and learn about how we organize our work.

Discover how the global landscape of STEM graduates is shifting, potentially reshaping the future of innovation and education worldwide. This blog post analyzes recent education data from the countries with the most graduates in Science, Technology, Engineering, and Mathematics (STEM) fields. For each of the top eleven countries by number of STEM graduates, we present the total number of STEM graduates as well as STEM graduates as a percentage of total graduates in 2020.

In an op-ed published in War on the Rocks, CSET’s Lauren Kahn discusses the U.S. Department of Defense's Replicator initiative, which aims to rapidly scale military capabilities in response to strategic competition with China.

CSET's Anna Puglisi was featured in a Nature article along with a report she co-authored. The article discusses the challenges faced by US policymakers in regulating research involving potentially harmful pathogens. The focal point of the discussion is the CSET report titled “Understanding the Global Gain-of-Function Research Landscape.”

In an article published in Foreign Policy, Anna Puglisi offers her expert analysis on the U.S.-China Science and Technology Cooperation Agreement (STA).

Progress in artificial intelligence (AI) depends on talented researchers, well-designed algorithms, quality datasets, and powerful hardware. The relative importance of these factors is often debated, with many recent “notable” models requiring massive expenditures of advanced hardware. But how important is computational power for AI progress in general? This data brief explores the results of a survey of more than 400 AI researchers to evaluate the importance and distribution of computational needs.