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Helen Toner | Center for Security and Emerging Technology

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Credibility Rating

4/5
High(4)

High quality. Established institution or organization with editorial oversight and accountability.

Rating inherited from publication venue: CSET Georgetown

Helen Toner is a prominent AI policy researcher and former OpenAI board member whose work at CSET focuses on AI governance, U.S.-China AI competition, and the strategic implications of advanced AI systems.

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Importance: 42/100homepage

Summary

This is the staff profile page for Helen Toner, Interim Executive Director at Georgetown's Center for Security and Emerging Technology (CSET). She has a background in AI policy, strategy, and U.S.-China competition, with prior roles at Open Philanthropy and Oxford's Centre for the Governance of AI. The page aggregates her publications, media appearances, and research contributions.

Key Points

  • Helen Toner serves as Interim Executive Director at CSET, focusing on AI policy, strategy, and export controls.
  • She previously advised policymakers at Open Philanthropy and studied China's AI ecosystem as an Oxford Research Affiliate.
  • Her work covers U.S.-China AI competition, military AI applications, and AI governance, with publications in Foreign Affairs, TIME, and The Economist.
  • Recent work includes a CSET report on AI systems building future AI ('When AI Builds AI') and commentary on Pentagon-Anthropic disputes.
  • She has testified before multiple Congressional committees on AI policy matters.

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Helen Toner | Center for Security and Emerging Technology 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

 
 
 
 
 

 
 
 
 
 
 

 
 
 

 
 

 
 
 
 
 
 
 
 
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 Directors

 
 Helen Toner

 Interim Executive Director 
 
 
 
 
 Artificial intelligence
 
 
 
 
 Export controls
 
 
 
 
 Machine learning
 
 
 
 
 Military-civil fusion
 
 
 
 
 Strategy
 
 
 
 Print Bio 
 
 

 
 
 Helen Toner is the Interim Executive Director at Georgetown’s Center for Security and Emerging Technology (CSET). She previously worked as a Senior Research Analyst at Open Philanthropy, where she advised policymakers and grantmakers on AI policy and strategy. Between working at Open Philanthropy and joining CSET, Helen lived in Beijing, studying the Chinese AI ecosystem as a Research Affiliate of Oxford University’s Center for the Governance of AI. Helen has written for Foreign Affairs, the Economist, TIME, and other outlets about U.S.-China competition and AI policy, as well as testifying before several Congressional committees. Helen holds an MA in Security Studies from Georgetown alongside a BSc in Chemical Engineering and a Diploma in Languages from the University of Melbourne.

 

 Related Content

 
 
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 Pentagon Standoff Is a Decisive Moment for How A.I. Will Be Used in War

 
 February 2026 
 
 CSET’s Helen Toner shared her expert perspective in an article published by The New York Times. The article examines the growing dispute between the Pentagon and Anthropic and what it signals about how artificial intelligence… Read More 

 
 
 
 
 
 The Source With Kaitlan Collins – The Source 2/27 – Helen Toner

 
 February 2026 
 
 CSET’s Helen Toner was featured on CNN's The Source with Kaitlan Collins, where she discussed the escalating dispute between the Pentagon and Anthropic over the use of artificial intelligence in military applications. Read More 

 
 
 
 
 
 AI Race Making a “Hindenburg-Style Disaster a Real Risk”

 
 February 2026 
 
 CSET’s Helen Toner was featured on CNN News Central, where she discussed the accelerating global AI race and the challenges it poses. She explored China’s rapid advancement in AI, the shift from chatbots to autonomous… Read More 

 
 
 
 
 
 1 big thing: AI could soon improve on its own

 
 January 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… Read More 

 
 
 
 
 
 Reports 
 When AI Builds AI

 
 January 2026 
 
 Leading artificial intelligence companies have started to use their own systems to accelerate research and development, with each generation of AI systems contributing to building the next generation. This report distills points of consensus and… Read More 

 
 
 
 
 
 3 Common Misunderstandings About AI in 2025

 


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