黑暗的未来:人工智能阴谋信念尺度 (AICBS) 的开发和初步验证
Chung-Ying Lin1,2,3,4, Julia Brailovskaia5,6, Servet Üztemur7
1Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Brain and behavior
|July 3, 2025
概括
这项研究引入了人工智能阴谋信念尺度 (AICBS) 和一个更短的版本 (AICBS-5) 来衡量对AI的信念. 这两种尺度都是验证和可靠的工具,用于评估AI相关的阴谋论.
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:
- 人工智能 (AI) 的快速发展激起了公众的兴趣,并产生了有关其未来影响的阴谋论.
- 生成型人工智能的自主决策能力助长了猜测和担忧.
- 现有的研究缺乏针对AI特定的阴谋信念的标准化衡量标准.
研究的目的:
- 开发和验证人工智能阴谋信念尺度 (AICBS).
- 评估AICBS和一个缩短版本 (AICBS-5) 的心理测量特性.
- 为测量与人工智能相关的阴谋论信念提供可靠的工具.
主要方法:
- 对788名土耳其参与者进行了横截面调查.
- 探索性因子分析 (EFA) 和确认性因子分析 (CFA) 用于确定尺度的结构.
- 开发和测试了AICBS,一个30项尺度,五个子维度,以及5项版本 (AICBS-5).
主要成果:
- AICBS的五因素结构解释了62.58%的差异,CFA证实了模型合适.
- 一个单维尺度AICBS-5解释了45.28%的差异,并显示了强大的心理测量特性.
- 这两种尺度都表现出非常好的内部一致性和并发有效性,通过与AI焦虑,通用阴谋论信仰和Anomie的相关性.
结论:
- 证实AICBS和AICBS-5是有效和可靠的心理测量仪器.
- 这些尺度可以有效地用于评估有关人工智能的阴谋论.
- 这项研究为研究人员调查公众对AI的看法提供了有价值的工具.
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