Artificial intelligence poses unique challenges in a complex policy landscape. Programs in AI education for congressional staff—like the one piloted by CSET’s Ben Buchanan—could help national security professionals navigate this landscape.

Talent from overseas is essential to U.S. AI research & development, says Remco Zwetsloot. Policies that might restrict that talent flow should be carefully considered to avoid reducing the current U.S. advantage.

"Over two decades, the international arena of digital competition has become ever more aggressive," writes CyberAI Director Ben Buchanan in his forthcoming book, The Hacker and the State.

Margarita Konaev weighs in on the future military environment on "The Convergence" podcast, drawing from her experience in emerging technologies, military applications of artificial intelligence, and urban warfare in the Middle East, Russia, and Eurasia.

CSET’s Remco Zwetsloot and Dahlia Peterson examine the U.S. advantage over China in recruiting overseas talent to work in emerging tech. They describe deep-rooted reasons for the differences – and the way the United States can maintain its edge.

Western tech companies and investors “really must take a hard look at what they are doing" in connection with China's surveillance efforts and human rights, CSET's Dahlia Peterson notes in this story.

Talent is core to U.S. competitiveness in artificial intelligence, and international graduate students are a large source of AI talent for the United States. Graduate student retention has been a historical U.S. strength, but that strength is endangered by recent trends, finds a new CSET report.

A recent CSET report concludes that 80% of international students remain in the U.S. after graduation. Yet recent events threaten the U.S. AI talent advantage, including a potential end to the OPT program. "This would be a really bad development for the U.S. from an AI competitiveness perspective," says lead author Remco Zwetsloot.

The largest problem Chinese AI companies face “may be the dawning realization on investors that, although it seems promising, in most areas AI just isn’t ready for the big time,” says CSET’s Helen Toner.

China isn’t spending as much as it says it is on AI R&D, according to a new CSET report. Authors Zachary Arnold and Ashwin Acharya dispute the common belief that China is pouring tens of billions of dollars into AI.