对AI对手的不公平厌恶
Debanjan Borthakur1, Peter Diep2, Jason E Plaks3
1Department of Psychology, University of Toronto, Toronto, Canada. debanjan.borthakur@utoronto.ca.
Scientific reports
|October 30, 2025
概括
人们在资源分配游戏中对待人工智能与人类不同. 参与者更频繁地拒绝不公平的AI报价,并表现出更大的负面情绪,突出了理解AI的必要性.
科学领域:
- 心理学 心理学 心理学
- 人与计算机的交互
- 人工智能伦理学 人工智能伦理学
背景情况:
- 人类的道德互动通常涉及公平的资源分配.
- 这些道德假设对人工智能 (AI) 实体的应用尚未得到充分理解.
- 研究人类对人工智能公平性的反应对于开发道德的人工智能至关重要.
研究的目的:
- 检查人类如何对人工智能的公平,不利和有利的报价做出回应,与人类同行相比.
- 分析人类-人工智能交互中的行为,生理和情感反应.
- 提出一种模型来理解人类对AI道德行为的反应.
主要方法:
- 利用21轮的终极游戏来模拟资源分配场景.
- 对比了参与者对人工智能与人类对手提供的报价的反应.
- 测量行为 (拒绝率),生理 (心率变化) 和情感 (情绪反应) 数据.
主要成果:
- 参与者比人类更频繁地拒绝来自人工智能的不利优惠.
- 参与者更频繁地拒绝了来自人类的优惠报价,而不是来自AI的报价.
- 对不利的人工智能产品的负面影响和生理应激反应 (心率变化) 增加了.
结论:
- 人类对人工智能公平性的反应与对人类公平性的反应有很大不同.
- 自律过程在人类如何感知和反应AI道德行为的过程中起着关键作用.
- 这些发现有助于开发更符合伦理的AI系统.
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