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Paper · arXiv

Can LLMs Imagine Moral Alternatives Beyond Binary Dilemmas?

As LLMs increasingly serve as moral advisors and agents, they must address conflicts between competing values. Yet prior work on moral dilemmas overlooks a central aspect of human moral cognition: imagining alternatives beyond the given options. We introduce MoralAltDataset, comprising 307 Advisor and AI-facing Agent dilemmas augmented with compromise and reframed alternatives. We compare human and LLM judgments in binary and four-option settings. Across human participants and 15 LLMs, aggregate moral choice distributions differ substantially between the two settings, with compromise often preferred over either original binary option. Results show value shifts and stronger human-LLM agree...

AuthorsJongchan Choi, Nari Yang, Sung Soo Park et al.
Primary categorycs.CL
Published30 June 2026
Last updated at source1 September 2026
cs.CLcs.AIcs.LG
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