Constitutional AI
Safety & EthicsAnthropic's approach to AI alignment where the model is trained to follow a set of explicit principles rather than relying solely on human feedback.
Constitutional AI (CAI) is Anthropic's methodology for training AI models like Claude. Instead of relying entirely on human raters to judge what's good or bad, CAI gives the model a 'constitution' — a set of explicit principles — and trains it to self-evaluate and revise its outputs against those principles.
The process works in two stages: first, the AI generates responses and critiques them against the constitution. Then, a preference model is trained on these self-critiques, which guides the final model's behavior. This reduces reliance on large teams of human raters and makes the AI's values more transparent and auditable.
CAI is significant because it makes AI alignment more scalable and systematic. Rather than hoping thousands of individual human ratings add up to coherent values, you explicitly define what you want the AI to value.
Real-World Example
Claude is built using Constitutional AI — which is why it tends to be more transparent about uncertainty and limitations than some competitors.
Related Terms
More in Safety & Ethics
FAQ
What is Constitutional AI?
Anthropic's approach to AI alignment where the model is trained to follow a set of explicit principles rather than relying solely on human feedback.
How is Constitutional AI used in practice?
Claude is built using Constitutional AI — which is why it tends to be more transparent about uncertainty and limitations than some competitors.
What concepts are related to Constitutional AI?
Key related concepts include Alignment, RLHF (Reinforcement Learning from Human Feedback), Guardrails. Understanding these together gives a more complete picture of how Constitutional AI fits into the AI landscape.