利用统计和机器学习方法,模拟公众对人工智能的认知能力的信任
Reshaa F Alruwaili1, Abdullah A Alasmari1, Hussien Tash Niyazi1
1Department of Psychology, College of Social Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.
Scientific reports
|November 13, 2025
概括
随着人们对人工智能 (AI) 的熟悉度,公众对人工智能的信任也在增长. 年龄和性别也会影响人们对人工智能的信心.
科学领域:
- 人与计算机的互动.
- 人工智能伦理学 人工智能伦理学
- 认知科学是一种认知科学.
背景情况:
- 人工智能 (AI) 系统越来越多地执行认知任务.
- 评估公众对人工智能的认知能力的信任对于采用至关重要.
- 了解影响信任的因素是开发与用户一致的AI的关键.
研究的目的:
- 研究年龄,性别和AI熟悉度对公众对AI认知功能的信心的影响.
- 确定对人工智能决策,判断和记忆回忆的信任的关键预测因素.
- 在不同的场景中探索用户对人工智能的偏好与人类决策的偏好.
主要方法:
- 对400名参与者进行了关于人工智能信任和熟悉度的调查.
- 对人口和体验因素的统计分析.
- 随机森林分类用于预测信任水平.
主要成果:
- 人工智能熟悉度是对人工智能的信心最强的预测因素.
- 年龄和性别也显著影响了信任水平.
- 参与者对人工智能更信任事实回忆,而不是复杂的判断或高风险的决定.
结论:
- 熟悉和年龄是塑造对AI认知能力的信任最有影响力的因素.
- 公众对人工智能的信任是微妙的,根据任务类型和感知风险而有所不同.
- 结果为设计可靠和以用户为中心的AI系统提供了实用见解.
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