Constitutional AI

Constitutional AI is an approach to AI alignment developed by Anthropic (the company behind Claude). Rather than relying solely on human feedback to identify harmful outputs, CAI provides the model with a set of principles — a 'constitution' — and trains it to evaluate and revise its own outputs according to those principles. The training process has two phases. In the first phase, the model generates responses, then critiques and revises them based on the constitutional principles. This produces a dataset of improved responses through self-supervision. In the second phase, this dataset is used to train a preference model, similar to RLHF but using AI-generated rather than human-generated feedback (a technique called RLAIF — Reinforcement Learning from AI Feedback). The constitutional principles might include directives like 'Choose the response that is most helpful while being honest and harmless', 'Avoid responses that are discriminatory or biased', and 'If asked to assist with potentially harmful activities, explain why you cannot help'. These principles make the alignment process more transparent and auditable.

Constitutional AI addresses a key challenge in AI deployment: ensuring that AI systems behave consistently according to defined values and guidelines. For businesses, this translates to more predictable, trustworthy AI behaviour that can be aligned with corporate policies and ethical standards. The principle-based approach also makes AI behaviour more transparent and auditable. Rather than opaque preference training, the rules governing the model's behaviour are explicit and can be reviewed, discussed, and updated. This is valuable for compliance, governance, and stakeholder trust. For organisations developing their own AI applications, CAI concepts inform how to design and implement guardrails, content policies, and ethical guidelines. Even when using third-party models, understanding CAI helps teams evaluate how well different AI providers have addressed safety and alignment.