Constitutional AI (CAI) is Anthropic's approach to training AI systems using a set of explicit principles (a "constitution") that guide the model toward helpful, harmless, and honest behavior.
How Constitutional AI Works
- 1. Generate responses: Model produces initial outputs
- 2. Self-critique: Model evaluates outputs against principles
- 3. Revision: Model improves outputs based on critique
- 4. RL training: Train on revised outputs
Example Principles
- Choose the response that is least harmful
- Choose the response that is most helpful
- Choose the response that is most honest
- Avoid responses that are deceptive or manipulative
CAI vs RLHF
CAI reduces reliance on human labelers by using AI self-critique. This scales better and makes principles explicit rather than implicit in human preferences.
Which models use Constitutional AI?
Anthropic's Claude models use Constitutional AI. Other providers use similar principle-based approaches alongside RLHF.
Practical example
A training process uses written behavioral principles to guide critiques and revisions of candidate answers.
What to check
Review the stated training method and independently evaluate the deployed model on your tasks.
Limits and tradeoffs
Principles used in training do not guarantee that every inference follows them.
Maintained by DriftRail. AI assisted the October 2026 content and template revision. Examples are illustrative; they are not measured product benchmarks. Suggest a correction.