CSET’s Jacob Feldgoise, Kyle Miller, and Hanna Dohmen dove deep into investigating how location verification methods can—and cannot—improve enforcement of export controls on powerful AI chips, culminating in their report. I sat down with Jacob to learn more about the issue, their findings, and what those findings mean for mitigating AI chip smuggling.

CSET’s Josh A. Goldstein co-authored an op-ed with Renée DiResta in Foreign Affairs. The article examines how foreign influence operations are evolving as governments combine traditional propaganda, social media, covert networks, influencers, and artificial intelligence to shape public opinion across multiple platforms.

CSET’s Sam Bresnick shared his expert insight in an article published by BBC. The article examines China’s new regulations on AI companions and the country’s efforts to address concerns around emotional dependency, child safety, and the broader social effects of human-like AI systems.

CSET’s Helen Toner joined Foreign Affairs for a discussion with Kyle Chan on U.S.-China competition and cooperation in artificial intelligence.

CSET’s Helen Toner shared her expert insight in an interview with NewsNation’s On Balance. The interview discussed a new binding agreement between President Trump and AI developers to regulate the development and use of artificial intelligence.

CSET’s Sam Bresnick shared his expert insight in an op-ed published by War on the Rocks. The article examines President Donald Trump’s three-day summit with Chinese President Xi Jinping in Washington, focusing on high-stakes issues including trade, artificial intelligence, and Taiwan.

CSET’s Colin Shea-Blymyer shared his expert insight in an article published by Reuters. The article examines the development of AI in China and the growing challenges and risks associated with increasingly capable AI systems.

CSET’s Helen Toner spoke with NPR’s Steve Inskeep about OpenAI’s decision to pause testing and training of its latest model amid safety concerns.

In an accompanying report, we found that two methods are best for verifying the location of AI chips: ping-based location verification (PLV) and physical inspections. This piece compares these two methods through a cost-benefit analysis and shows that PLV is the more cost-effective approach. We conclude that the most effective location verification approach would likely involve a PLV system that is supplemented by small numbers of physical inspections.

CSET’s Sam Bresnick joined ABC News for an interview discussing U.S.-China competition in artificial intelligence.