Constitutional AI

Constitutional AI is Anthropic's alignment methodology that trains AI models to follow a set of explicit principles—a "constitution"—rather than relying solely on human feedback for every decision. The approach uses a two-stage process: first, the model generates responses guided by constitutional principles and critique, then outputs are refined through feedback that references these principles. This technique creates more principled, transparent, and scalable AI systems that can reason about ethics and safety without requiring exhaustive human annotation of edge cases. Example: Claude models are trained with a constitution that includes principles like "be helpful, harmless, and honest," which the AI uses to self-critique and improve responses even in scenarios humans never explicitly labeled during training. Why it matters for AI and data in Web3: Constitutional AI principles can enhance trust in decentralized systems by embedding explicit values into AI agents operating in Web3. This approach supports the creation of aligned autonomous agents for DeFi, governance, and security applications where transparent, principled decision-making is critical to user confidence and system safety.

Explore the full Web3 Glossary — 2,000+ expert-curated definitions. Need guidance? Talk to our consultants.