Thomas Larsen
Thomas Larsen is an AI policy researcher and scenario writer. He earned a computer science and mathematics degree at the University of Michigan in 2022, researched vision for self-driving cars, wrote an undergraduate thesis on robustness, joined MATS cohorts in 2022 and 2023, and wrote an overview of technical alignment. After AI safety research at MIRI, he founded the Center for AI Policy in 2023, submitted a public comment on AI risk to the National AI Advisory Committee, and coauthored Safety Cases in 2024. He coauthored AI 2027 in 2025 and a CSET report on AI research automation in January 2026. In July 2026, he coauthored AI 2040: Plan A; as of October 2026, he is Research Lead at the AI Futures Project and lead author of the scenario for US policymakers.
- Now at
- AI Futures Project
- Works
- 3
- Badges
- Links
- Google Scholar and LinkedIn
Publication numbers from OpenAlex, as of 22 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.
Timeline
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2022–2023
University of Michigan and MATS
At the University of Michigan, he earns a degree in computer science and mathematics in 2022, conducts vision research for self-driving cars, and writes an undergraduate thesis on robustness. He joins MATS in its Summer 2022 cohort with John Wentworth and Winter 2023 cohort with Nate Soares. He also writes a detailed overview of technical AI alignment.
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August 2023
Founding the Center for AI Policy
After conducting AI safety research at MIRI, he founds the Center for AI Policy in August 2023, a DC-based group advocating policies to mitigate catastrophic AI risks. He serves as its Executive Director.
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October 2023
A comment to NAIAC
In October 2023, he submits CAIP's public comment to the National AI Advisory Committee on advanced AI's national-security risks and possible policy responses, including compute governance, frontier AI regulation, and international cooperation.
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March 2024
Safety cases for advanced AI
In March 2024, he coauthors Safety Cases: Justifying the Safety of Advanced AI Systems as CAIP's Director of Strategy. The paper proposes structured arguments that AI developers can use to show their systems are safe.
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April 2025
AI 2027
In April 2025, AI 2027 credits him alongside Daniel Kokotajlo, Scott Alexander, Eli Lifland, and Romeo Dean. Larsen, Kokotajlo, Lifland, and Dean write the scenario content; Alexander rewrites the text. The scenario explores possible AI progress and its consequences through 2027.
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January 2026
When AI Builds AI
In January 2026, he coauthors CSET's When AI Builds AI report, which distills consensus and disagreement from a workshop on automating AI research and development.
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July 2026
AI 2040: Plan A
In July 2026, he coauthors AI 2040: Plan A with Daniel Kokotajlo, Eli Lifland, and three other authors. The scenario recommends government action that delays superintelligence until 2040.
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As of October 2026
Research Lead at AI Futures
As of October 2026, he is Research Lead at the AI Futures Project and lead author of AI 2040: Plan A, a scenario illustrating the project’s recommendation to US policymakers.
Career
- NowAI Futures ProjectResearch Lead
- 2023Center for AI PolicyFounder, Executive Director
- Until 2022University of MichiganVision researcher
- Machine Intelligence Research InstituteAI safety researcher
Education
- 2022University of MichiganDegree in computer science and mathematics
Sources and credits
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- AI Risk Mitigation Fund
- Ep 11 - Technical alignment overview w/ Thomas Larsen
- Thomas Larsen - MATS Program Alumni
- (My understanding of) What Everyone in Technical Alignment is Doing and Why — LessWrong
- Introducing the Center for AI Policy (& we're hiring!) — LessWrong
- NAIAC Public Comment | Center for AI Policy | CAIP
- Safety Cases: Justifying the Safety of Advanced AI Systems | Center for AI Policy | CAIP
- AI 2027: What Superintelligence Looks Like — LessWrong
- About — AI 2027
- When AI Builds AI | Center for Security and Emerging Technology
- AI 2040: Plan A
- About — AI Futures Project


