探索人工智能"信任悖论":来自美国一项调查实验的证据
Sarah Kreps1, Julie George1,2, Paul Lushenko1
1Cornell University Tech Policy Institute, Menlo Park, CA, United States of America.
PloS one
|July 18, 2023
概括
公众使用人工智能 (AI) 的意愿可能超过对其能力的信任,这一现象被称为"AI信任悖论". 这项研究揭示了为什么人们使用他们不完全信任的AI技术.
科学领域:
- 人工智能 (AI) 是一种人工智能.
- 人与计算机的交互
- 技术对社会的影响 技术对社会的影响
背景情况:
- 人工智能 (AI) 承诺通过提高效率,精度和安全来实现社会转型.
- 人工智能广泛采用取决于公众的信任和愿意与人工智能支持的技术进行互动.
- 一个人的潜力.
- 人工智能信任悖论
- 探索了使用人工智能的意愿超过了信任的情况.
研究的目的:
- 调查人工智能信任悖论的存在和条件.
- 了解驱动人工智能技术使用的心理和社会因素,尽管存在潜在的不信任.
- 在各种应用中分析公众对人工智能的态度.
主要方法:
- 这是一项两部分研究,结合了联合分析和因果调解分析.
- 联合分析评估了AI技术在各个领域的属性:武装无人机,手术,警察监视,自动驾驶汽车和内容调节.
- 调查实验和因果调解分析解释了人工智能技术使用的驱动因素.
主要成果:
- 强有力的证据支持人工智能信任悖论的存在,最显著的是人工智能支持的警察监视.
- 与其他领域相比,对人工智能支持的警察监视的支持明显超过了信任水平.
- 人工智能使用的关键驱动因素包括害怕错过,对未来人工智能的乐观,感知到的利益风险平衡和效率增长.
结论:
- 人工智能信任悖论是影响技术采用的一个重要因素.
- 了解潜在的信念对于解决公众对人工智能的态度至关重要.
- 这些发现对人工智能在各种社会部门的负责任整合具有重要意义.
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