Worth following for the evaluation side of alignment work, especially where model-written tests and more faithful reasoning traces are used to make model behavior easier to inspect.
Researcher Profile
Editor reviewedLiane Lovitt
Alignment via AI feedback (Constitutional AI)
Societal impacts and evaluation researcher at Anthropic
A good page for the societal-impacts side of Anthropic’s research, especially where evaluation work turns toward persuasion and real-world downstream effects.
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Known For
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01
Model-written evaluations
02
Persuasiveness and societal-impact measurement
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Alignment-oriented evaluation work
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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
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One of the clearest people to follow if you care about scaling laws, training efficiency, and the systems choices that quietly shape frontier-model progress.
A good person to follow for the part of alignment work that becomes concrete measurement: model-written tests, chain-of-thought faithfulness, and behavior-shaping methods that can actually be audited.