Research PaperPublished: December 2022~1,890 citations recorded
Constitutional AI: Harmlessness from AI Feedback
Authors: Yuntao Bai, Saurav Kadavath, Amanda Askell, Dario Amodei
Institution / Lab: Anthropic
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Paper Abstract & Theoretical Contribution
Introduced Reinforcement Learning from AI Feedback (RLAIF) guided by a written constitution of human values, eliminating the requirement for human labelers to view traumatic or toxic outputs during safety alignment.
Key Experimental Findings & Benchmarks
Models aligned via Constitutional AI demonstrate superior harmlessness without loss of helpfulness.
Eliminated dependence on tens of thousands of human feedback annotations for safety screening.
Formed the theoretical foundation for Claude's model alignment and red-teaming resilience.
Taxonomy & Field Classification:
#Anthropic#Safety Alignment#RLAIF#Constitutional AI#AI Ethics
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