解释女性对人工智能的怀疑:风险导向和风险暴露的作用
Sophie Borwein1, Beatrice Magistro2, R Michael Alvarez3
1Department of Political Science, University of British Columbia, Vancouver, BC, Canada V6T 1Z1.
PNAS nexus
|January 22, 2026
概括
妇女认为人工智能 (AI) 采用更有风险,因为风险厌恶和暴露率更高. 解决这些性别特异性风险对于公平的人工智能政策和防止反弹至关重要.
科学领域:
- 社会科学 社会科学 社会科学
- 经济学 经济学 经济学
- 技术研究 技术研究
背景情况:
- 在工作场所采用人工智能 (AI) 带来了潜在的经济利益,但也带来了风险.
- 现有的研究表明,在技术采用和态度方面,存在潜在的性别差距.
- 了解这些差异对于公平的AI整合至关重要.
研究的目的:
- 检查工作场所对人工智能采用态度的性别差距.
- 确定这种性别差距的驱动因素,重点关注风险导向和风险暴露.
- 通过纳入女性对人工智能风险的观点,为人工智能政策制定提供信息.
主要方法:
- 利用来自加拿大和美国大约3000名受访者的原始调查数据.
- 采用实验设计来建立风险感知和AI态度之间的因果关系.
- 应用结构主题建模来分析关于AI益处的开放式响应.
主要成果:
- 女性始终认为人工智能比男性更有风险.
- 确定了关键驱动因素:女性更高的一般风险厌恶和更大的AI相关风险暴露.
- 女性对人工智能的好处表示更多的不确定性,预计对就业的积极影响较少.
结论:
- 风险感知中的性别差异显著影响了人们对人工智能采用的态度.
- 如果未能解决性别特异性AI风险,可能会加剧不平等,导致政治反对.
- 纳入女性观点对于制定包容性和有效的人工智能政策至关重要.
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