Brian Tomasik
Brian Tomasik is a computer-science researcher whose writing brings questions about suffering into AI ethics. He studied machine learning at Swarthmore and worked on Bing search relevance at Microsoft from 2009 to 2013. He helped start the Foundational Research Institute in 2013, wrote about future AI risk and the moral status of reinforcement-learning agents, and briefly did machine-learning work at FlyHomes in 2015. As of October 2026, he is an advisor to the Center on Long-Term Risk.
Timeline
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2005–2009
Choosing computer science at Swarthmore
Around 2005, he starts thinking about making money to donate. In fall 2007, he switches his Swarthmore major to computer science while studying machine learning, then graduates in 2009 with a computer science major and a statistics minor.
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2009–2013
Bing search relevance
At Microsoft, he works as a software engineer from 2009 to 2013, improving the relevance of Bing's search results.
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2013
Starting the Foundational Research Institute
In 2013, he helps start the Foundational Research Institute, now called the Center on Long-Term Risk, and writes essays and scholarly articles through the organization.
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May 2014
AI and future suffering
In May 2014, he publishes Artificial Intelligence and Its Implications for Future Suffering and argues that AI ethics and policy deserve attention from people focused on reducing suffering.
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October 2014
The moral status of AI agents
In October 2014, he argues that present-day artificial reinforcement-learning agents may have a very small but nonzero degree of ethical importance.
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2015
Machine learning at FlyHomes
In 2015, he briefly does machine-learning work with the real-estate startup FlyHomes.
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As of October 2026
Center on Long-Term Risk advisor
As of October 2026, he is an advisor to the Center on Long-Term Risk, where advisors review and contribute to the organization's research and activities.
Career
- Since 2013Center on Long-Term RiskCo-founder, Advisor
- 2015Flyhomes, Inc.
- 2009–2013MicrosoftSoftware engineer
Education
- 2009Swarthmore CollegeComputer science major; statistics minor
Most-cited works
Sources and credits
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