了解算法歧视对不道德消费者行为的影响
Binbin Sun1, Shan Pei1, Qingjin Wang1
1School of Business, Qingdao University, Qingdao 266071, China.
Behavioral sciences (Basel, Switzerland)
|April 26, 2025
概括
人工智能 (AI) 中的算法歧视显著推动了不道德的消费者行为 (UCB). 这是因为消费者经历了预期的内感,而这种内感受到了他们对人工智能互动公平性的信念的影响.
科学领域:
- 消费者行为 消费者行为
- 人工智能伦理学 人工智能伦理学
- 算法偏见是一种算法偏见.
背景情况:
- 人工智能普及率的增加引发了人们对人类与人工智能的互动中不道德的消费者行为 (UCB) 的担忧.
- 之前的研究主要集中在AI的人类特征上,忽视了算法的关键作用.
- 算法歧视对UCB的影响仍未得到充分研究.
研究的目的:
- 调查算法歧视对UCB的影响.
- 探索预期内的调解作用和负面互惠信念的调节作用.
- 在AI的背景下,区分主动和被动的UCB.
主要方法:
- 进行了三项实验,以检查算法歧视,预期内,负互惠信念和UCB之间的关系.
- 社会交换理论提供了理论框架.
- 评估了UCB的积极和被动形式.
主要成果:
- 经历算法歧视显著增加了UCB.
- 预期性内在算法歧视和UCB之间的关系中起到调解作用.
- 消费者的负面互惠信念减轻了算法歧视对预期内和UCB的影响.
结论:
- 算法歧视是UCB在AI交互中的关键驱动力.
- 了解像内和互惠信仰这样的调解和调节因素对于缓解至关重要.
- 区分主动和被动UCB为开发公平的人工智能系统提供了更全面的观点.
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