5 sources
Worth tracking for the newer evaluation thread at Anthropic, especially where failure-mode discovery and faithfulness measurement extend beyond the original RLHF papers.
Researcher Profile
Editor reviewedTimothy Telleen-Lawton
Alignment via AI feedback (Constitutional AI)
Contributor to Anthropic work on constitutional AI, scalable oversight, and faithfulness
A useful page for the more evaluation-heavy side of Anthropic’s alignment program, especially where constitutional methods, model-written evals, and faithfulness checks start to connect.
Organizations
Anthropic
Labs
About This Page
This profile is meant to help you get oriented quickly: why this researcher matters, what to read first, and where to explore next.
Known For
The ideas, systems, and research directions that make this person worth knowing.
01
Constitutional AI
02
Faithfulness in chain-of-thought reasoning
03
Model-written evaluations and scalable oversight
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.
Measuring Faithfulness in Chain-of-Thought ReasoningpaperSpecific versus General Principles for Constitutional AIpaperDiscovering 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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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.