Are LLMs Bad at Moral Reasoning?
For highly capable AI systems to operate safely in dynamic, open-ended environments, they must be able to identify, understand, and respond to moral reasons for action, and constrain their behaviour accordingly. A growing body of research aims to evaluate this capacity -- moral competence -- in today's most capable AI systems, recently reaching broadly pessimistic conclusions. One of the most ambitious such papers collects gold-standard human-authored rubrics for evaluating moral reasoning in 1,000 cases, and benchmarks frontier AI models against those rubrics, with underwhelming results. In this paper, we argue that the MoReBench dataset can be redeployed to give a much more optimistic p...
| Authors | Menghang Zhu, Seth Lazar |
|---|---|
| Primary category | cs.CY |
| Published | 10 June 2026 |
| Last updated at source | 10 June 2026 |
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