Constitutional AI Alignment

Constitutional AI is a method to move beyond simple "human feedback" (which can be biased or inconsistent) toward a principled approach where the model aligns itself to a written "Constitution." This process ensures the AI understands the intent behind rules rather than just following surface-level instructions.

The Alignment Process

1. Define the Constitution

Create a list of natural language principles that represent your desired values. Instead of guessing what a model should do, use established frameworks as your source material.

• Global Standards: Reference the UN Declaration of Human Rights.
• Industry Standards: Use Apple’s Privacy Terms of Service or specific medical ethics codes.
• Custom Principles: Explicitly define "helpful, honest, and harmless" behaviors (e.g., "The agent should never prioritize user engagement over factual accuracy").

2. The Critique-and-Revision Loop

Operationalize these principles by forcing the model to evaluate its own performance before delivering a final result.

1. Initial Output: Generate a response to a prompt.
2. Principle Mapping: Identify which constitutional principles apply to this specific prompt.
3. Critique: Ask the model: "Does this response abide by [Principle X]? If not, what are the specific flaws?"
4. Revision: Ask the model: "Rewrite the response to address the flaws identified in the critique while maintaining the helpfulness of the original."
5. Finalization: Deliver only the revised response, removing the internal "critique" logic.