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In the news section, our experts take center stage in shaping discussions on technology and policy. Discover articles featuring insights from our experts or citing our research. CSET’s insights and research are pivotal in shaping key conversations within the evolving landscape of emerging technology and policy.

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1 big thing: AI could soon improve on its own

Axios
| January 27, 2026

A CSET workshop report was highlighted in an segment published by Axios in its Axios+ newsletter. The segment explores the growing push toward automating AI research and development, examining how far AI systems might go in designing, improving, and training other AI models and what that could mean for innovation, safety, and governance.

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CSET’s Hanna Dohmen shared her expert analysis in an article published by CNBC. The article discusses how China continues to advance in artificial intelligence despite U.S. restrictions on access to Nvidia’s most advanced chips.

On July 31, 2025, the Trump administration released “Winning the Race: America’s AI Action Plan.” CSET has broken down the Action Plan, focusing on specific government deliverables. Our Provision and Timeline tracker breaks down which agencies are responsible for implementing recommendations and the types of actions they should take.

The Geopolitics of AGI | Helen Toner

80,000 Hours
| November 5, 2025

CSET’s Helen Toner was featured on the 80,000 Hours Podcast, where she discusses AI, national security, and geopolitics. Topics include China’s AI ambitions, military use of AI, global AI adoption, and recent tech leadership changes.

Mapping the AI Governance Landscape

MIT AI Risk Repository
| October 15, 2025

🔔 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.

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.

CSET’s Jessica Ji shared her expert analysis in an interview published by Science News. The interview discusses the U.S. government’s new action plan to integrate artificial intelligence into federal operations and highlights the significant privacy, cybersecurity, and civil liberties risks of using AI tools on consolidated sensitive data, such as health, financial, and personal records.

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 Helen Toner shared her expert insights in an article published by Foreign Policy. The article explores the impact of renewed U.S. export restrictions on Nvidia and the broader implications for U.S.-China competition in artificial intelligence (AI). Nvidia announced it expects a $5.5 billion financial hit due to new licensing requirements for selling its H20 chips to China.