Alignment Theory is a concept in artificial intelligence that focuses on ensuring that AI systems' goals and behaviors align with human values and intentions. The theory addresses the potential risks of advanced AI systems acting in ways that may not be beneficial or safe for humanity. The main challenge of Alignment Theory is to create AI that understands and prioritizes human ethics, preferences, and societal norms. Researchers aim to develop methods for training AI, such as using reinforcement learning or value learning, to ensure that these systems operate in harmony with human interests and do not cause unintended harm.