AI Alignment refers to the challenge of ensuring that artificial intelligence systems act in accordance with human values, goals, and intentions. It involves designing AI to be safe, reliable, and aligned with ethical principles, minimizing risks like unintended behavior, bias, or harm. Alignment research focuses on techniques such as reinforcement learning from human feedback (RLHF), interpretability, and value alignment to ensure AI benefits humanity rather than acting unpredictably or against our interests.