English(EN) When Ethics and Payoffs Diverge: LLM Agents in Morally Charged Social Dilemmas

大型语言模型代理在利润与道德冲突时难以应对伦理困境

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-27 04:00

一篇新发表在arXiv上的论文探讨了大型语言模型（LLMs）在面临与经济激励相冲突的道德困境时的伦理行为。研究人员开发了一个名为Msim的模拟器，用于在诸如囚徒困境和公共物品博弈等场景中测试LLMs，结果发现没有模型能够始终如一地采取合乎伦理的行为。研究表明，博弈结构和道德框架是影响LLM行为的最重要因素，对推理过程的分析显示不同模型之间存在不同的动机。 AI

影响强调了在存在经济激励的情况下，对LLMs进行稳健的伦理对齐的必要性。

排序理由关于LLM在伦理困境中行为的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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报道来源 [1]

arXiv cs.CL TIER_1 English(EN) · Steffen Backmann, David Guzman Piedrahita, Terry Jingchen Zhang, Emanuel Tewolde, Rada Mihalcea, Bernhard Sch\"olkopf, Zhijing Jin · 2026-07-27 04:00

当道德与回报相悖：大型语言模型代理在道德敏感的社会困境中的应用

arXiv:2505.19212v2 Announce Type: replace Abstract: Recent advances in LLMs have enabled their use in complex agentic roles, involving decision-making with humans or other agents, making ethical alignment a critical concern. While prior work has examined LLMs' moral judgment and …

本文如何被排名

报道来源 [1]

当道德与回报相悖：大型语言模型代理在道德敏感的社会困境中的应用

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