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相关概念视频

Confirmation Biases01:31

Confirmation Biases

8.2K
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?
8.2K
Hindsight Biases01:12

Hindsight Biases

4.3K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
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Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance01:14

Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance

666
Avoidance-avoidance conflict refers to a psychological situation where a person must choose between two or more unpleasant alternatives. These conflicts are particularly stressful because neither option is desirable. This dilemma is often expressed in sayings like "caught between a rock and a hard place" or "between the devil and the deep blue sea." For instance, individuals who fear dental procedures may find themselves torn between enduring a painful toothache or facing the...
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Bias01:22

Bias

7.3K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
7.3K
Correspondence Bias01:17

Correspondence Bias

221
Correspondence bias, also referred to as the fundamental attribution error, describes the tendency to attribute another person’s behavior to internal characteristics rather than situational influences. This cognitive bias leads individuals to overlook external factors that may be influencing actions, thereby fostering potentially inaccurate assessments of others’ intentions and dispositions.Empirical Evidence for Correspondence BiasResearch has consistently demonstrated the...
221
Self-Serving Bias01:29

Self-Serving Bias

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Self-serving bias is a cognitive phenomenon in which individuals attribute positive outcomes to internal factors such as their abilities, intelligence, or effort while attributing negative outcomes to external circumstances. This cognitive distortion helps maintain self-esteem but can also impede objective self-assessment.Theoretical Explanations of Self-Serving BiasTwo primary theories explain the self-serving bias: the cognitive explanation and the motivational explanation.The cognitive...
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相关实验视频

Updated: Jan 30, 2026

Development of New Therapeutic Applications Using Microfluidics
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人工智能开发人员可以在公共卫生应用中避免偏见吗?

Rebekah J Harms1,2, Rachel A Ankeny3, Lucy Carter2,4

  • 1Disability Innovation Institute, UNSW Sydney, Sydney, NSW, Australia.

Frontiers in public health
|January 29, 2026
PubMed
概括

人工智能支持的个性化治疗提供健康益处,但风险偏差. 开发人员在缓解这种偏见方面面临实际挑战,影响公平的治疗设计和责任.

关键词:
人工智能的人工智能是人工智能.偏见 偏见 偏见 偏见 偏见工程生物学 工程生物学公共卫生公共卫生.责任就是责任,责任就是责任.

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An Application for Pairing with Wearable Devices to Monitor Personal Health Status
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An Application for Pairing with Wearable Devices to Monitor Personal Health Status

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Author Spotlight: Developing a Simple and Robust Hepatic Model for Pharmacological and Toxicological Applications
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Author Spotlight: Developing a Simple and Robust Hepatic Model for Pharmacological and Toxicological Applications

Published on: October 20, 2023

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相关实验视频

Last Updated: Jan 30, 2026

Development of New Therapeutic Applications Using Microfluidics
08:56

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Published on: October 1, 2007

5.7K
An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

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Author Spotlight: Developing a Simple and Robust Hepatic Model for Pharmacological and Toxicological Applications
07:23

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科学领域:

  • 工程生物学工程生物学
  • 人工智能的人工智能是人工智能.
  • 生物技术是生物技术.
  • 医疗信息学医学信息学

背景情况:

  • 人工智能和工程生物学方面的进步使个性化医疗治疗成为可能.
  • 个性化治疗对公共卫生有重大影响,但存在偏见的风险.
  • 人工智能驱动治疗中的偏见可以不成比例地伤害特定的子群体.

研究的目的:

  • 突出人工智能开发人员在减轻个性化治疗偏见方面面临的实际挑战.
  • 检查这些挑战对公平待遇设计的影响.
  • 考虑局限性如何影响减轻偏见的责任归属.

主要方法:

  • 对开发人员在偏见检测和删除方面的挑战进行定性分析.
  • 探索人工智能开发管道中的实际限制.
  • 讨论道德考虑和责任框架.

主要成果:

  • 现有的缓解偏差策略往往忽视了开发者的实际挑战.
  • 开发人员在识别和纠正偏差时遇到重大障碍.
  • 承认这些局限性对于公平的责任分配至关重要.

结论:

  • 解决实际挑战对于公平的人工智能驱动的医疗保健至关重要.
  • 需要更清晰的框架来指导开发人员缓解偏差.
  • 公平的发展需要理解和减轻现实世界的限制.