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The Representativeness Heuristic02:13

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The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
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支持人工智能的技术统治:来自西班牙代表性样本的数据

Eva Moreno-Bella1,2, Marcos Dono3, Miguel Moya2,4

  • 1Department of Social and Organizational Psychology, National University of Distance Education (UNED), Madrid, Spain.

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概括

本研究介绍了一组关于西班牙公众对人工智能 (AI) 技术统治的态度的数据,探讨其与经济观念和政治倾向的联系. 这些数据可以在经济不确定性中为人工智能治理策略提供信息.

关键词:
人工智能的人工智能是人工智能.经济因素 经济因素开放式访问 开放式访问政治的心理学政治心理学.社会经济地位 社会经济地位技术民主制 技术民主制

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科学领域:

  • 社会科学 社会科学 社会科学
  • 政治科学 政治科学是指政治学.
  • 人工智能研究 人工智能研究

背景情况:

  • 生成性人工智能的进步与经济困境和政治极端主义相吻合.
  • 在当前的社会政治气候中,了解公众对治理人工智能的态度至关重要.

研究的目的:

  • 提出一套新的数据集,检查西班牙关于人工智能 (AI) 技术统治的社会和政治态度.
  • 探索经济观念与支持人工智能在治理中的关系.

主要方法:

  • 一个研究公司通过在线调查收集了1541名西班牙参与者的数据集.
  • 样本按配额分层,以反映西班牙人口分布.
  • 数据包括对人工智能技术统治的支持,社会经济地位,政治取向,经济威胁/短缺以及社会人口统计信息.

主要成果:

  • 该数据集捕捉了与人工智能技术统治相关的各种社会和政治态度.
  • 它包括诸如感知到的经济衰退,不平等和相对贫困等变量.
  • 数据收集发生在西班牙的地区政治选举期间.

结论:

  • 这一数据集是第一个将人工智能技术支持与当代社会的社会和政治态度联系在一起的数据集.
  • 它为应对经济挑战提供了见解,并促进了对人工智能治理的信任.
  • 这些发现可以为数据驱动的政策和人工智能融入政府结构提供信息.