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流行病后,英国公众信任的激增
John Rose1, Jason Reid1, Lisa Morton1
1Spirituality Mind Body Institute & Clinical Psychology Program, Teachers College, Columbia University, New York, NY 10027, USA.
Behavioral sciences (Basel, Switzerland)
|September 27, 2025
概括
在COVID-19后,公众对医疗保健和公民机构的信任增加了. 人工智能 (AI) 的信任保持稳定,这表明社会危机可能会增强整体公众的信任.
科学领域:
- 社会科学 社会科学 社会科学
- 心理学 心理学 心理学
- 数据伦理数据伦理
背景情况:
- COVID-19大流行严重影响了公众对包括医疗保健在内的机构的信任.
- 大众市场人工智能 (AI) 的出现为公众信任评估引入了一个新的领域.
- 了解公民和技术机构的信任动态在流行病后至关重要.
研究的目的:
- 调查公众对医疗保健,非医疗保健公民机构和英国人工智能的信任程度.
- 分析2022年至2023年期间公众信任的变化,在COVID-19大流行之后的时期.
- 在不同机构领域中识别公众信任的不同配置文件.
主要方法:
- 利用来自英国的国家调查数据 (2022,N=4320;2023,N=4232).
- 采用主要组件分析和结构方程建模来确定公众信任的领域.
- 应用测量不变性测试和隐性配置模型来分析信任级别和配置文件.
主要成果:
- 从2022年到2023年,公众对医疗保健和非医疗保健公民机构的信任显著增加.
- 在同一时期,对人工智能 (AI) 的信心保持相对稳定.
- 确定了四个不同的公共信任档案,显示了信任领域之间的规范关联.
结论:
- 社会危机,如COVID-19大流行,可能会导致公众信任 (PT) 的整体增加.
- 疫情后,人们对既有机构的信任恢复了,而对新兴的人工智能技术的信任却呈现出不同的动态.
- 研究结果强调了现代社会中公众信任的复杂性和不断变化的性质.
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