AI作为审议伙伴可促进美国参与者的跨文化共情，但对拉丁美洲参与者无效
AI as a deliberative partner fosters intercultural empathy for Americans but fails for Latin American participants
AI总结：
通过随机实验比较三种AI审议方式，研究发现跨文化审议能提升美国参与者共情，却因文化表征失真而对拉丁美洲参与者无效，揭示AI文化对齐中的深层不对称。
摘要：
尽管AI聊天机器人在公共话语中的部署日益增加，但关于其促进跨文化共情能力的实证证据仍然有限。通过一项随机实验，我们评估了不同的AI审议方法——跨文化审议（呈现其他文化视角）、本文化审议（代表参与者自身文化）以及非审议对照——如何影响美国和拉丁美洲参与者的跨文化共情。跨文化审议通过积极的情感参与提升了美国参与者的跨文化共情，但对拉丁美洲参与者未产生此类效果；尽管有明确提示要求AI代表其文化视角，他们仍认为AI回复在文化上不真实。我们对参与者驱动反馈的分析显示，用户在反馈中直接标记并解释了文化上不恰当的AI回复，揭示出AI在呈现拉丁美洲情境方面存在系统性缺口，即便采用复杂的提示工程，这些缺口依然存在。这些发现表明，当前的AI文化对齐方法——包括语言适配和明确的文化提示——无法完全解决AI系统中更深层的表征不对称问题。我们的工作推进了审议理论和AI对齐研究，揭示同一AI系统如何能够同时促进一个文化群体的跨文化理解，却在另一个文化群体身上失败，这对为跨文化民主话语设计公平的AI系统具有关键意义。
英文摘要：
Despite increasing AI chatbot deployment in public discourse, empirical evidence on their capacity to foster intercultural empathy remains limited. Through a randomized experiment, we assessed how different AI deliberation approaches--cross-cultural deliberation (presenting other-culture perspectives), own-culture deliberation (representing participants' own culture), and non-deliberative control--affect intercultural empathy across American and Latin American participants. Cross-cultural deliberation increased intercultural empathy among American participants through positive emotional engagement, but produced no such effects for Latin American participants, who perceived AI responses as culturally inauthentic despite explicit prompting to represent their cultural perspectives. Our analysis of participant-driven feedback, where users directly flagged and explained culturally inappropriate AI responses, revealed systematic gaps in AI's representation of Latin American contexts that persist despite sophisticated prompt engineering. These findings demonstrate that current approaches to AI cultural alignment--including linguistic adaptation and explicit cultural prompting--cannot fully address deeper representational asymmetries in AI systems. Our work advances both deliberation theory and AI alignment research by revealing how the same AI system can simultaneously promote intercultural understanding for one cultural group while failing for another, with critical implications for designing equitable AI systems for cross-cultural democratic discourse.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
