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相关概念视频

Stereotype Content Model02:16

Stereotype Content Model

15.3K
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...
15.3K
Stereotype Threat and Self-fulfilling Prophecies02:09

Stereotype Threat and Self-fulfilling Prophecies

41.9K
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...
41.9K
Stereotypes, Prejudice, and Discrimination02:55

Stereotypes, Prejudice, and Discrimination

94.9K
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...
94.9K
Implicit Personality Theories01:23

Implicit Personality Theories

350
Implicit personality theory explains how individuals make assumptions about the relationships between personality traits, behaviors, and character types. When people learn that someone possesses a particular trait, they tend to infer the presence of other related characteristics, forming a cohesive impression. This cognitive shortcut plays a crucial role in social interactions and interpersonal judgments.Central Traits and Their InfluenceSolomon Asch's seminal 1946 study highlighted the power...
350
The Representativeness Heuristic02:13

The Representativeness Heuristic

16.7K
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.
16.7K
Motivational Bias01:25

Motivational Bias

313
Cognitive bias results from limitations in thinking and information processing, leading to systematic errors in judgment. Conversely, motivational bias stems from personal desires or emotions, causing distortions in perception to align with self-interest. Motivational bias influences how individuals perceive and attribute causes to events, often shaped by personal needs, goals, and self-esteem preservation. This bias can distort judgment, leading to inaccurate assessments of success, failure,...
313

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相关实验视频

Updated: Jan 16, 2026

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

17.9K

人工智能产生的内容中的刻板印象:对内容选择的影响

Fei Gao1, Lan Xia1, Wenting Zhong1

  • 1Department of Marketing, Bentley University.

Journal of experimental psychology. Applied
|September 29, 2025
PubMed
概括

像ChatGPT和Midjourney这样的人工智能 (AI) 图像生成器复制和放大性别和种族刻板印象. 减少刻板印象的人工智能内容减少了偏见的选择,但仅仅是意识并不能阻止选择无害的刻板印象.

科学领域:

  • 人工智能的人工智能
  • 社会心理学 社会心理学
  • 媒体研究 媒体研究

背景情况:

  • 生成型人工智能 (AI) 越来越多地用于创建内容.
  • 一个严重的担忧是,人工智能有可能传播和放大社会刻板印象.

研究的目的:

  • 调查AI图像生成器是否复制和放大性别和种族刻板印象.
  • 检查人工智能生成的定型内容的可用性如何影响用户的选择和信仰.
  • 评估意识对人工智能产生的刻板印象自我纠正的影响.

主要方法:

  • 一个大规模的实地研究 (2024年) 涉及人工智能图像生成器 (ChatGPT,Midjourney,Canva) 创建 1,110 个图像.
  • 五个预先注册的实验 (2024-2025年) 参与了2,994名美国成年人.
  • 选择集的分析,用户的选择,以及刻板印象意识的影响.

主要成果:

  • 人工智能系统地复制和放大性别和种族刻板印象,通过在选择集中提供更具刻板印象的内容.
  • 越来越多的刻板印象的人工智能内容的可用性导致更高的选择可能性,由可用性和先前存在的偏见驱动.
  • 对人工智能刻板印象的认识不会减少"无害"刻板印象的选择,但可以导致对"有害"刻板印象的自我纠正.

相关实验视频

Last Updated: Jan 16, 2026

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

17.9K

结论:

  • 人工智能图像生成工具可以延续和加剧社会偏见.
  • 减少刻板印象AI内容可用性的干预措施可以减轻偏见的选择和信念.
  • 刻板印象的感知伤害会影响意识是否促使自我纠正.