OpenAI
Coinbase
MIT
Taylor SorensenMember of Technical Staff, Societal Impacts · AnthropicResearcher↗
Researcher · Engineer
Kamal Ndousse
AnthropicMachine Learning Researcher
Helped build Anthropic’s core systems for training language models from feedback.[1] He co-authored the Helpful and Harmless Assistant and Constitutional AI papers, which explored using human judgments and AI-generated feedback to make assistants safer and more useful.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations27,201As of Nov 3, '26
Selected contributions
Constitutional AI: Harmlessness from AI Feedback
With Yuntao Bai, Saurav Kadavath, Sandipan Kundu, Amanda Askell, Jackson Kernion, Andy Jones, Anna Chen and others ·Trained AI assistants to critique and improve their answers using a written set of principles.
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
With Yuntao Bai, Andy L. Jones, Amanda Askell, Anna Chen, Nova DasSarma, Dawn Drain, Stanislav Fort and others ·Training AI assistants to be more helpful and less harmful using human feedback.
References
- Constitutional AI contribution statementarxiv.org
Section 7 explicitly credits Andy Jones and Kamal Ndousse with core RL infrastructure.
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Reviewed November 3, 2026 · Checked for accuracy and new information.
