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When we hold a stereotype about a person, we have expectations that he or she will fulfill that stereotype. A self-fulfilling prophecy is an expectation held by a person that alters his or her behavior in a way that tends to make it true. When we hold stereotypes about a person, we tend to treat the person according to our expectations. This treatment can influence the person to act according to our stereotypic expectations, thus confirming our stereotypic beliefs. Research by Rosenthal and...
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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 confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
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Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
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While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
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According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
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与可犯错的人工智能互动:当收到人工智能错误分类时,不信任是否有帮助?

Tobias M Peters1, Ingrid Scharlau1

  • 1Department of Psychology, Faculty of Arts and Humanities, Paderborn University, Paderborn, Germany.

Frontiers in psychology
|June 11, 2025
PubMed
概括
此摘要是机器生成的。

鼓励对人工智能 (AI) 建议持怀疑态度,并不会改善性能,可能会使其恶化. 对人工智能的信任增加,而不信任减少,即使人工智能的准确性下降,突出了复杂的人类-人工智能交互动态.

关键词:
贝叶斯参数估计的贝叶斯参数估计信号检测理论的理论没有信任,不信任.人与人工智能的互动图像分类 图像分类 图像分类在信任信任信任信任信任信任对人工智能的信任

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科学领域:

  • 人与计算机的交互
  • 人工智能伦理学 人工智能伦理学
  • 认知心理学 认知心理学

背景情况:

  • 可信的人工智能 (AI) 在医学等高风险领域至关重要.
  • 目前的研究往往侧重于培养用户对人工智能的信任,以提高性能.
  • 然而,批判性地审查和不信任人工智能决策的能力也是至关重要的.

研究的目的:

  • 调查怀疑指令对人类-人工智能交互性能的影响.
  • 分析随着人工智能性能下降,对人工智能的信任和不信任如何发展.
  • 用贝叶斯信号检测理论量化适当的依赖.

主要方法:

  • 创建了两个图像分类场景,并提供模拟人工智能建议.
  • 参与者接受了AI关于质量下降的建议.
  • 测量了任务执行,信任和不信任,条件包括怀疑指令与中立指令.

主要成果:

  • 怀疑指令没有改善,事实上恶化了参与者的表现.
  • 随着人工智能质量下降,人们对人工智能的信任增加了,不信任减少了,无论指示如何.
  • 贝叶斯信号检测理论分析提供了一种方法来评估适当的依赖.

结论:

  • 指示用户对人工智能持怀疑态度并不会提高性能,可能会有害.
  • 用户对人工智能的信任动态是复杂的,尽管准确性下降,但显示了用户信任的增加.
  • 这些发现对人工智能免责声明和对人工智能系统的信任和不信任的未来研究有影响.