Large language models show amplified cognitive biases in moral decision-making.

ABSTRACT: As large language models (LLMs) become more widely used, people increasingly rely on them to make or advise on moral decisions. Some researchers even propose using LLMs as participants in psychology experiments. It is, therefore, important to understand how well LLMs make moral decisions and how they compare to humans. We investigated these questions by asking a range of LLMs to emulate or advise on people's decisions in realistic moral dilemmas. In Study 1, we compared LLM responses to those of a representative U.S. sample (N = 285) for 22 dilemmas, including both collective action problems that pitted self-interest against the greater good, and moral dilemmas that pitted utilitarian cost-benefit reasoning against deontological rules. In collective action problems, LLMs were more a

SUBMITTER: Cheung V 

PROVIDER: S-EPMC12207438 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature