What is Constitutional AI
A method of training AI where a model's behavior is guided through a set of principles and rules.
Definition
Constitutional AI is a method of training AI where a model's behavior is guided through a set of principles and rules. Simply put, this concept helps assess risk, liability, safety, and compliance. In practice, it helps to understand what capabilities the tool actually has, what data it will need, and what limitations are worth checking before implementation.
Example
The model evaluates and corrects the response based on principles of safety and usefulness, not just manual markup.
Why it matters
The approach is important for secure assistants, but specific principles and implementations need to be checked against the developer's sources. This helps you choose AI tools not by big promises, but by how they work in a real problem.
How it works
First, stakeholders, data, and potential harm are identified, then checks, restrictions, audits, and responsibilities are introduced. In the case of the term “Constitutional AI”, it is important to look separately at the data, quality criteria and application conditions.
Where it is used
- Important in products where AI impacts people, personal data, security, legal risks or decision making.
Limitations
Risks change as laws, products and data change, so these pages require regular editorial review.