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Yuntao Bai

Researcher, Anthropic

Yuntao Bai is a researcher at Anthropic. Google Scholar lists the affiliation Anthropic, PBC, with a verified anthropic.com email. Bai is first author of "Constitutional AI: Harmlessness from AI Feedback" (2022) and of "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback" (2022).123

At a glance

Current role
Researcher
Company
Anthropic
Work listed
1
Sources cited
3
Profile reviewed

Accomplishments

  • Constitutional AI1
  • Helpful and harmless assistant (RLHF)1

Constitutional AI

The Constitutional AI paper's author-contributions section says Bai developed the method further and designed and carried out most of the experiments, and that Bai and Jared Kaplan drafted the paper. Anthropic's December 2022 post summarizes the method: a list of principles (a "constitution") plus self-critique, revision, and RL from AI feedback.12

Work and contributions

Where they work

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References

3 sources · profile reviewed Oct 25, 2026 · data updated Oct 25, 2026

  1. Constitutional AI: Harmlessness from AI Feedback (arXiv 2212.08073)arXiv · Paper · accessed Oct 25, 2026
  2. Constitutional AI: Harmlessness from AI feedbackAnthropic · Announcement · accessed Oct 25, 2026
  3. Yuntao Bai — Google ScholarGoogle Scholar · Official page · accessed Oct 25, 2026

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