生成式AI歧视下的道德惩罚
Moral Punishment in Generative AI Discrimination
DOI: 10.12677/ap.2026.163154, PDF,   
作者: 张 玥, 戴 婕, 孙造诣：浙江工业大学教育学院，浙江 杭州
关键词: 生成式AI；生成式AI歧视；道德惩罚；Generative AI； Generative AI Discrimination； Moral Punishment
摘要: 本研究旨在考察个体针对生成式AI、人类以及传统算法这三类不同主体所实施歧视行为的道德惩罚意愿差异。研究借助情境实验范式，对比了被试对不同歧视主体的惩罚倾向。结果表明，与人类歧视相比，个体对生成式AI和传统算法所产生歧视的道德惩罚意愿显著更低，而生成式AI与传统算法二者在道德惩罚意愿上的差异仅达到边缘显著水平。本研究结果有助于深化对生成式AI歧视情境下公众道德反应规律的认识，并为人工智能伦理治理与责任判定提供实践参考。
Abstract: This study aimed to examine differences in people’s desire for moral punishment when they engage in discriminatory behavior directed at three distinct agents: generative AI, humans, and traditional algorithms. Using a scenario-based experiment, this study compared participants’ punishment tendencies toward different discriminatory agents. The results reveal that compared with human discrimination, people have less desire for moral punishment toward discrimination generated by generative AI and traditional algorithms. However, the difference in the desire for moral punishment between generative AI and traditional algorithms is only marginally significant. The findings of this study contribute to a deeper understanding of the patterns of public moral responses in scenarios involving generative AI discrimination and provide practical references for AI ethical governance and responsibility determination.
文章引用：张玥, 戴婕, 孙造诣 (2026). 生成式AI歧视下的道德惩罚. 心理学进展, 16(3), 392-399. https://doi.org/10.12677/ap.2026.163154

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