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Human fear responses to certain stimuli, such as darkness, heights, deep water, and blood, can often arise despite the absence of direct negative experiences. This phenomenon is rooted in evolutionary psychology, which posits that humans have developed a predisposition to fear stimuli that historically posed significant survival threats. This predisposition, known as preparedness, suggests that early humans who developed a fear of potentially dangerous entities, such as venomous snakes and...
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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.

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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.

关键词:
人工智能与社会 人工智能与社会恐惧 恐惧 恐惧 恐惧生成型的人工智能 (GAI)心理测量是指心理测量.

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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.