What Is Constitutional AI? Training a Model to Critique Itself
An alignment technique where a model is trained to evaluate and revise its own responses against a written set of principles, reducing reliance on human-labeled examples.
A model critiquing its own responses
Constitutional AI trains a model to evaluate its own responses against a written set of guiding principles (a "constitution"), then revise responses that violate those principles — using the model's own generated critique and revision as training signal, rather than relying solely on human-labeled examples of good and bad responses.
Why reducing reliance on human labels matters
Collecting human feedback on every response at the scale needed for RLHF is slow and expensive. Constitutional AI reduces how much of that labeling needs to come directly from humans, by having a model apply explicit written principles consistently at scale instead.
How it fits with other alignment techniques
Constitutional AI is typically used alongside reinforcement learning from AI feedback, where a model's self-critique process helps generate training signal that would otherwise need to come entirely from human raters — supplementing rather than fully replacing human-guided alignment.
Frequently Asked Questions
What is Constitutional AI?
An alignment technique that trains a model to evaluate its own responses against a written set of guiding principles and revise responses that violate them, reducing reliance on human-labeled examples of good and bad responses.
Does Constitutional AI eliminate the need for human feedback?
Not entirely — it reduces how much labeling needs to come directly from humans by having the model apply written principles consistently at scale, but it's typically used alongside, not as a full replacement for, human-guided alignment.