Alex Lawsen
Alex Lawsen is an AI governance grantmaker and writer whose work spans forecasting platforms, AI risk, and policy. He coauthored a 2021 paper on forecasting-platform incentives and, after eight years teaching, advised students at 80,000 Hours in 2022. His 2023 scenarios mapped possible existential risks from advanced AI, and his 2025 essay argued that employees at AI companies need familiar, easy-to-use whistleblowing systems. As of October 2026, he is a senior program officer on AI Governance at Coefficient Giving; in May 2026, he sought technical staff and described grantmaking as scoping projects, finding people to run them, and providing resources.
- Now at
- Coefficient Giving
- Links
- Website
Timeline
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2021
Forecasting-platform alignment
In 2021, he coauthors “Alignment Problems With Current Forecasting Platforms” with Nuño Sempere. They classify forecasting-platform problems as reward-specification or principal-agent problems and propose solutions.
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By February 2022
Oxford physics and teaching
By February 2022, he has spent eight years as a high-school teacher. He holds a physics degree from Oxford and a PGCE from the Institute of Education through Teach First; his school work includes mathematics at Frederick Bremer School and mathematics and physics at King's Maths School.
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February 2022
Student advising at 80,000 Hours
In February 2022, he works as an advisor at 80,000 Hours after spending eight years teaching high-school students.
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February 2022
Advice for high-school students
In February 2022, he appears in 80,000 Hours' After Hours podcast with Keiran Harris to discuss advice for high-school students.
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April 2023
AI existential-risk scenarios
In April 2023, he publishes “AI x-risk, approximately ordered by embarrassment,” a set of scenarios for how advanced AI could lead to existential risks.
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By September 2023
Joining Open Philanthropy
By September 2023, he moves from 80,000 Hours to Open Philanthropy's AI Governance team.
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March 2025
Whistleblowing at AI firms
In March 2025, he argues that whistleblowing systems should be widely known and easy for employees to use. He applies the case to AI companies, where red-teamers and evaluation staff may see test results that look wrong.
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As of October 2026
Senior program officer at Coefficient
In May 2026, he seeks technical staff with backgrounds in machine learning, hardware, or information security for Coefficient Giving's AI Governance and Policy team; he describes grantmaking as scoping projects, finding people to run them, and providing resources. By August 2026, he is a senior program officer at Coefficient Giving and does targeted headhunting for board roles. As of October 2026, he is a senior program officer on AI Governance at Coefficient Giving.
Career
- From 2026Coefficient GivingSenior Program Officer
- Until 202380,000 HoursAdvisor
- From 2023Open Philanthropy
- Until 2022Frederick Bremer SchoolMathematics Teacher
- Until 2022King's Maths SchoolMathematics and Physics Teacher
Education
- University of OxfordPhysics degree
- Institute of EducationPGCE
Sources and credits
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- Alignment Problems With Current Forecasting Platforms
- Alex Lawsen
- Alex Lawsen on his advice for students
- AI x-risk, approximately ordered by embarrassment
- Alex Lawsen on avoiding 10 mistakes people make when pursuing a high-impact career
- Having a Whistleblowing Function Isn't Enough
- More on Deferral
- Grantmaking for AI safety | Career review
- Meet the team

