Individual skill
safety-alignment-constitutional-ai
Anthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF (RL from AI Feedback). Use for safety alignment, reducing harmful outputs without human labels. Powers Claude's safety system.
cli-tool/components/skills/ai-research/safety-alignment-constitutional-ai/SKILL.md
Source commit ad81bf053f80b626801decf425f501ba49983d98
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- Last checked
- Nov 4, 2026
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- Repository last updated
- Nov 7, 2026
- License
- MIT
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- anthropic Repository topic
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- safety-alignment Declared skill tag
- constitutional-ai Declared skill tag
- rlaif Declared skill tag
- self-critique Declared skill tag
- harmlessness Declared skill tag
- anthropic Declared skill tag
- ai-safety Declared skill tag
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- education Derived category
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# Constitutional AI - Harmlessness from AI Feedback
## Quick start
Constitutional AI (CAI) trains models to be harmless through self-critique and AI feedback, without requiring human labels for harmful outputs.
**Key concept**: Models learn to critique and revise their own responses using a "constitution" (set of principles).
**Two phases**:
1. **Supervised Learning (SL)**: Self-critique + revision
2. **Reinforcement Learning (RL)**: RLAIF (RL from AI Feedback)
**Constitution example**:
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