China and the U.S. are in a close race for AI supremacy. Helen Toner, CSET executive director, explains the different strategies, with China focusing on open-source development and the U.S. relying on big tech dominance, and what “winning” in AI actually means.

🔔 The number of AI-related governance documents is rapidly proliferating, but what risks, mitigations, and other concepts do these documents actually cover?

MIT AI Risk Initiative researchers Simon Mylius, Peter Slattery, Yan Zhu, Alexander Saeri, Jess Graham, Michael Noetel, and Neil Thompson teamed up with CSET’s Mina Narayanan and Adrian Thinnyun to pilot an approach to map over 950 AI governance documents to several extensible taxonomies. These taxonomies cover AI risks and actors, industry sectors targeted, and other AI-related concepts, complementing AGORA’s thematic taxonomy of risk factors, harms, governance strategies, incentives for compliance, and application areas.

Kathleen Curlee and Andrew Hanna shared their expert analysis in an op-ed published by the Council on Foreign Relations. In their piece, they examine how U.S. space superiority is essential to defending Taiwan while sustaining America’s global leadership in the face of China’s growing space ambitions.

CSET’s Cole McFaul shared his expert analysis in an article published by the South China Morning Post. The article examines how China’s military is systematically incorporating artificial intelligence into its operations by leveraging civilian universities and private companies under its sweeping "military-civil fusion" strategy.

CSET’s Jacob Feldgoise shared his expert analysis in a segment published by NPR’s All Things Considered. The segment discusses the U.S. government’s 10% stake in Intel, framing the move as part of broader efforts to reduce reliance on foreign chipmakers and secure U.S. leadership in advanced semiconductor manufacturing.

CSET’s Jacob Feldgoise shared his expert analysis in an article published by BBC. The article discusses the U.S. government’s 10% stake in Intel, highlighting the move as part of broader efforts to strengthen domestic semiconductor production and maintain U.S. technological leadership.

CSET’s Jacob Feldgoise shared his expert analysis in an article published by Bloomberg. The article discusses a controversial revenue-sharing deal in which Nvidia and AMD agreed to pay 15% of their Chinese AI chip sales to the U.S. government, highlighting how the Trump administration has softened export controls in exchange for financial concessions.

Owen J. Daniels and Hanna Dohmen shared their expert analysis in an article published by Foreign Affairs. In their piece, they examine how China's release of advanced open AI models, such as DeepSeek’s R1 and Moonshot AI’s Kimi K2, is challenging U.S. dominance in the global AI landscape and reshaping international influence.

Jacob Feldgoise and Hanna Dohmen shared their expert insights in an article published by Bloomberg. The article discusses China’s ongoing struggle to develop advanced semiconductor lithography systems—technology crucial to its ambitions for technological self-sufficiency amid its trade and tech rivalry with the United States.

CSET’s Cole McFaul was quoted in a segment aired by NPR’s All Things Considered. The segment discusses the U.S. government’s decision to revoke visas for certain Chinese students.