除了降低风险之外:基于来自中国的证据,对人工智能的警信任
Wuyao Ding1,2, Yun Wu3, Junxiu Wang1,3
1School of Mental Health, Wenzhou Medical University, Wenzhou 325035, China.
Behavioral sciences (Basel, Switzerland)
|January 28, 2026
概括
公众对人工智能 (AI) 的信任并不总能降低人们感知的风险. 相反,警的信任涉及意识到潜在的伤害以及接受,影响AI采用和治理.
科学领域:
- 社会科学 社会科学 社会科学
- 技术与社会 技术与社会
- 人工智能伦理学 人工智能伦理学
背景情况:
- 人们普遍认为,公众对人工智能 (AI) 的信任可以减少感知到的风险,从而增加接受度.
- 这种假设忽略了信任,风险感知和人工智能采用之间的复杂关系.
研究的目的:
- 挑战对人工智能的信任仅仅减少感知风险的假设.
- 引入和探索人工智能"警信任"的概念.
- 检查信任的不同维度如何影响对利益和风险的看法,以及随后的人工智能接受程度.
主要方法:
- 对10,294名中国成年人进行了一项全国代表性调查.
- 该研究分析了信任的四个维度:信任的立场,能力,仁慈和诚信.
- 统计分析检查了信任维度,感知效益,感知风险和人工智能接受度之间的关系.
主要成果:
- 信任的各个维度都持续增强了感知的好处,这是人工智能接受的主要驱动力.
- 信任对风险感知有不同的影响:善意降低了风险,而信任的态度增加了利益和风险的感知.
- 感知到的风险并不总是阻止人工智能接受;在某些情况下,它们与采用意愿有积极的关联.
结论:
- 对人工智能的信任并不一定会减少风险意识;"警信任"与潜在的危害并存,并可以加剧对潜在危害的关注.
- 人工智能接受是复杂的,受感知好处和对风险的细微理解的影响,而不仅仅是降低风险.
- 调查结果表明,需要制定治理和沟通策略,承认对人工智能采用时的警信任和持续的风险意识.
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