人工智能分配的性别会影响人类和人工智能之间的合作.
Sepideh Bazazi1, Jurgis Karpus2, Taha Yasseri1,3,4
1School of Social Sciences and Philosophy, Trinity College Dublin, D02 CX56, Dublin, Ireland.
iScience
|December 1, 2025
概括
人们在与人工智能 (AI) 合作时表现出性别偏见. 参与者利用了女性标记的AI和不信任男性标记的AI,反映了人与人互动的偏见.
科学领域:
- 人与计算机的互动.
- 人工智能伦理学 人工智能伦理学
- 社会心理学 社会心理学
背景情况:
- 随着人工智能 (AI) 融入日常生活,人机合作至关重要.
- 现有的研究表明,人类与人工智能相比,与人工智能合作程度要低,可能会利用人工智能.
- 虽然人工智能的人类特征影响合作,但人工智能分配性别的影响还未得到充分研究.
研究的目的:
- 调查分配的性别标签如何影响与人工智能合作伙伴的合作.
- 通过不同的性别标签,比较人类和人工智能合作伙伴之间的合作模式.
主要方法:
- 囚犯困境游戏被用来评估合作.
- 402名参与者与人工智能和人类合作伙伴互动,被赋予男性,女性,非二进制或性别中立的标签.
主要成果:
- 参与者与人工智能合作展示了性别偏见,反映了人与人之间的互动模式.
- 女性标记的人工智能代理人被利用的比人类同行更多.
- 被男性标记的人工智能代理人比人类同行受到更多的不信任.
结论:
- 人工智能性别标签显著影响人类合作,反映了社会性别偏见.
- 了解和减轻人工智能的性别偏见对于道德的人工智能设计,政策和监管至关重要.
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