Human Moral

Research on human morality is increasingly leveraging large language models (LLMs) to understand and potentially replicate human moral reasoning, focusing on how these models align with human judgments across diverse cultures and contexts. Current studies analyze LLM performance on moral dilemmas, examining consistency across different moral frameworks and identifying biases reflecting the training data. This work is crucial for developing ethical AI systems and for gaining a deeper understanding of the cognitive processes underlying human moral decision-making, with implications for fields ranging from AI safety to social psychology.