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相关概念视频

Stereotype Content Model02:16

Stereotype Content Model

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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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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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Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
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Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
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Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
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扩展的人工智能厌恶:人们否认人工智能用户的人性.

Jianning Dang1, Li Liu1

  • 1Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University.

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|November 12, 2024
PubMed
概括
此摘要是机器生成的。

人们将寻求人工智能 (AI) 建议的人视为不那么人性化. 这种厌恶可以通过强调AI来减少.

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科学领域:

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

背景情况:

  • 人工智能 (AI) 往往被认为缺乏人类的品质,导致对人类专家的偏好.
  • 现有的研究强调了对人工智能的厌恶,但目前的研究调查了对使用人工智能寻求建议的人士的厌恶.

研究的目的:

  • 检查人们如何看待寻求人工智能建议的人与寻求人类建议的人相比.
  • 了解感知相似性和对人工智能的厌恶在人工智能寻求建议者的非人道化中的作用.
  • 探索干预措施,以减轻人工智能咨询寻求者的非人道化.

主要方法:

  • 八项预先注册的研究涉及2317名参与者,涉及各种AI使用场景.
  • 对寻求人工智能建议的人与寻求人类建议的人的看法进行比较分析.
  • 调解分析,以评估感知相似性和AI厌恶的作用.
  • 使用人类形态主义来缓解非人类化的干预研究.

主要成果:

  • 与人类相比,参与者否认了人工智能咨询者的人性,特别是情感能力和人性特征.
  • 感知不相似性调解了这种非人性化,特别是在对人工智能厌恶程度较高的个体中.
  • 人工智能咨询者的非人性化与减少的行为支持和帮助意图相关.
  • 人类形象主义干预,比如强调AI的人类特质或使用生成性AI,成功地减少了非人类化.

结论:

  • 这项研究通过专注于人工智能用户来推进对人工智能厌恶的理解,揭示了对人工智能用户的非人性化倾向.
  • 感知不相似性和个人对人工智能的厌恶显著影响了寻求人工智能的建议者的非人性化.
  • 促进人类形象主义的干预可以有效地减轻负面看法,并为寻求人工智能建议的人提供支持.
  • 调查结果强调了考虑人工智能采用和用户感知的社会影响的重要性.