谁怕产生的人工智能? 规模发展和对GenAI恐惧的预测因素
Guido Corradi1,2, Cecilia Theirs3,4, Maria Luisa Martínez-Martí3,4
1Department of Bioestatistics, Universidad Complutense de Madrid, Madrid, Spain.
Scandinavian journal of psychology
|October 30, 2025
概括
研究人员开发了对生成人工智能的恐惧 (FTGAI) 规模,以衡量对人工智能的担忧. 这个尺度表明,负面的AI态度和工作恐惧会增加焦虑,而熟悉会减少焦虑.
科学领域:
- 心理学 心理学 心理学
- 人工智能研究 人工智能研究
- 社会学 社会学 社会学
背景情况:
- 生成型人工智能正在迅速融入日常生活,引发了公众的担忧.
- 现有的测量工具没有充分捕捉到特定于生成性AI的恐惧.
- 了解公众的担忧对于负责任的AI开发和政策至关重要.
研究的目的:
- 开发和验证一个可靠的工具来评估对生成人工智能 (FTGAI) 的恐惧.
- 确定影响个人对生成AI的担忧的关键因素.
- 为研究人员和政策制定者提供一个工具,以衡量和解决社会恐惧.
主要方法:
- 来自焦点小组的定性数据为初始项目生成提供了信息.
- 定量验证涉及303名参与者进行规模开发.
- 探索性因子分析和回归模型被用于心理测量评估.
主要成果:
- 最初的37项量表显示出具有强大的可靠性和内容有效性的单维结构.
- 负面的AI态度和感知到的就业威胁预测了更高的FTGAI得分.
- 人工智能使用和熟悉度的增加与恐惧的减少相关.
结论:
- 经过验证的FTGAI规模有效地衡量了对生成AI的担忧.
- 该研究确定了人工智能相关恐惧的重要预测因素.
- 一个简短的4项版本也表现出良好的心理测量特性,提供了一个实用的测量工具.
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