This category explores how AI systems can integrate moral reasoning, ethical principles, and human values. Research includes modeling and learning moral norms, addressing ethical dilemmas, and enabling value-sensitive decision-making. Approaches range from computational frameworks to interdisciplinary methods involving philosophy, law, and the social sciences. Example topics include fairness-aware reinforcement learning, logic-based modeling of moral dilemmas, and culturally sensitive value alignment for AI assistants.