Constitutional AI is an alignment training methodology developed by Anthropic to train helpful and harmless models without human-labeled feedback for safety. The model is given a written list of principles (a constitution) and recursively critiques its own outputs to align with those principles.
Defines the safety alignment and security constraints of user-facing systems during safe model alignment, automated safety audits, and fine-tuning datasets; implementing Constitutional AI helps builders isolate instructions from injection exploits.
Constitutional AI is an alignment methodology pioneered by Anthropic to train AI models using a set of written principles (a "constitution") rather than relying solely on human feedback. During training, the model critiques its own draft responses based on this constitution, revising them to ensure safety, helpfulness, and honesty. This self-correction loop reduces human labeling bottlenecks and makes alignment transparent and customizable.
By using a critique-and-revision loop where the model evaluates its own initial responses against the constitution and rewrites them to be safer.
Rules against promoting violence, requirements for honesty, and guidelines to avoid paternalistic or preachy tones.
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