Constitutional AI represents a paradigm shift in aligning large language models with human values by training them to follow predefined ethical principles—a "constitution"—rather than relying solely on extensive human feedback. This approach combines reinforcement learning from AI feedback (RLAIF) with self-critique mechanisms, enabling models to iteratively improve their alignment with harmlessness, helpfulness, and honesty criteria. The methodology addresses scalability challenges inherent in traditional human feedback approaches while maintaining transparency through explicitly defined principles. As AI systems grow more capable, constitutional alignment becomes critical for ensuring they remain safe, interpretable, and aligned with societal values—even when their capabilities exceed human oversight capacity.