4 sources
A useful person to follow for the part of Anthropic that moved from assistant training into explicit behavior-discovery and evaluation work.
Researcher Profile
Editor reviewedMichael Sellitto
Alignment via AI feedback (Constitutional AI)
Evaluation and robustness researcher at Anthropic
A useful profile for the segment of Anthropic that turns alignment concerns into concrete evals, behavior probes, and red-team-style measurement.
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.
Last reviewed
March 18, 2026
Known For
The ideas, systems, and research directions that make this person worth knowing.
01
Constitutional AI
02
Model-written evaluations
03
Safety and robustness evaluation
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.
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4 sources
Worth following for the evaluation side of Anthropic’s alignment program, especially where model-written tests are used to surface new behaviors quickly.
4 sources
A good person to follow if you care about the practical evaluation layer at Anthropic rather than only its highest-level alignment claims.
4 sources
A useful page for the evaluation machinery behind Anthropic’s alignment work, especially where newly discovered behaviors need to be surfaced quickly and tested systematically.
4 sources
A useful page for Anthropic’s evaluation stack, especially where new model behaviors are surfaced through generated tests rather than only hand-authored benchmarks.
5 sources
Important because he is right at the center of the model-written-evals line, which became one of Anthropic’s clearest attempts to discover behaviors faster than manual evaluation can.