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5/5

Gold(5)

Gold standard. Rigorous peer review, high editorial standards, and strong institutional reputation.

Rating inherited from publication venue: NIST

Paul Christiano is one of the most influential figures in AI alignment; this NIST profile reflects his role advising or contributing to government AI safety efforts, relevant to understanding the intersection of technical alignment research and federal AI policy.

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Importance: 45/100homepage

Summary

Official NIST profile page for Paul Christiano, a prominent AI safety researcher known for foundational contributions to alignment, including work on scalable oversight, debate, and reinforcement learning from human feedback (RLHF). His work bridges theoretical alignment research and practical AI safety techniques.

Key Points

•Paul Christiano is affiliated with NIST (National Institute of Standards and Technology) in an AI safety capacity
•Known for foundational alignment research including RLHF, iterated amplification, and debate as scalable oversight methods
•Previously founded the Alignment Research Center (ARC) focused on practical alignment problems
•Contributed significantly to the theoretical foundations used in modern RLHF-based systems like ChatGPT
•His work connects technical AI safety research with policy and governance institutions

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Paul Christiano | NIST

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https://www.nist.gov/people/paul-christiano

Paul Christiano (Fed)

Head of AI Safety, U.S. Artificial Intelligence Safety Institute

Credit:

Photo by Carly Tabak

Director's Office - HQ

paul.christiano [at] nist.gov

(240) 961-1973

Staff Education

Ph.D. in computer science, University of California, Berkeley
B.S. in mathematics, Massachusetts Institute of Technology.

Paul Christiano is head of AI safety for the U.S. Artificial Intelligence Safety Institute. In this role, he will design and conduct tests of frontier AI models, focusing on model evaluations for capabilities of national security concern. Christiano will also contribute guidance on conducting these evaluations, as well as on the implementation of risk mitigations to enhance frontier model safety and security.

Christiano founded the Alignment Research Center, a nonprofit research organization that seeks to align future machine learning systems with human interests by furthering theoretical research. He also launched a leading initiative to conduct third-party evaluations of frontier models, now housed at Model Evaluation and Threat Research (METR).

He previously ran the language model alignment team at OpenAI, where he pioneered work on reinforcement learning from human feedback (RLHF), a foundational technical AI safety technique.

He holds a Ph.D. in computer science from the University of California, Berkeley, and a B.S. in mathematics from the Massachusetts Institute of Technology.