5 sources
Worth tracking for the practical evaluation layer around frontier models, especially where safety claims have to survive contact with real tests and faithful-reasoning checks.
Researcher Profile
Editor reviewedJackson Kernion
Alignment via AI feedback (Constitutional AI)
Alignment and reasoning researcher at Anthropic
A good person to follow for the evaluation-heavy side of Anthropic alignment work, especially where early assistant training later feeds into reasoning-faithfulness and model-written testing.
Organizations
Anthropic
Labs
About This Page
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Known For
The ideas, systems, and research directions that make this person worth knowing.
01
Reasoning faithfulness
02
Model-written evaluations
03
Assistant-alignment research
04
Alignment via AI feedback (Constitutional AI)
05
Constitutional AI: Harmlessness from AI Feedback
06
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
Start Here
Canonical papers, project pages, or repositories that anchor this profile.
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human FeedbackarticleQuestion Decomposition Improves the Faithfulness of Model-Generated ReasoningpaperDiscovering Language Model Behaviors with Model-Written EvaluationspaperConstitutional AI: Harmlessness from AI FeedbackpaperTraining a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedbackpaper
Supporting Sources
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Related Researchers
People worth exploring next because they share topics, labs, or source material with this profile.
4 sources
Worth following for the thread inside Anthropic that connects assistant training to more explicit work on reasoning faithfulness and evaluation.
4 sources
A useful page if you care about the harder question of whether a model’s visible chain of reasoning is actually faithful, not just plausible-looking.
5 sources
Useful for the seam between Anthropic’s earlier alignment papers and its later audit-oriented safety work, where interpretability and evaluation start feeding into deployment practice.
4 sources
Useful for the evaluation-heavy side of Anthropic’s research, especially where the lab moved from RLHF and Constitutional AI into broader behavior discovery.
4 sources
One of the earlier Anthropic contributors worth tracking for the path from RLHF assistant training into Constitutional AI and later model evaluation work.