Anthropic's approach to training AI systems using a set of principles.

• A. Constitutional AI (CAI)
• B. Regression Analysis
• C. Dataset
• D. RLHF (Reinforcement Learning from Human Feedback)

Answer: (A)

Constitutional AI centers on guiding model behavior through a fixed set of principles encoded as a constitution. This approach trains the AI to follow explicit rules or values during generation, using those principles to evaluate and shape outputs. By grounding training in a codified framework, the model learns to align with desired safety and value criteria without relying solely on external human rankings, and it can use the principles to critique its own responses and steer toward safer, more reliable answers. This contrasts with purely data-driven or human-feedback-heavy methods, emphasizing a transparent normative guideline that governs behavior from the ground up.

The other options don’t fit as the described approach. Regression analysis is a statistical method for modeling relationships, not a training alignment framework. A dataset is simply a collection of examples used for training and evaluation, not a method that defines how to train via a set of governing principles. RLHF relies heavily on human feedback to rank and shape outputs, whereas constitutional AI builds and applies a codified set of principles to steer behavior.