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专家决策中的认知和人为因素:六个谬论和八个偏见来源。

Cognitive and Human Factors in Expert Decision Making: Six Fallacies and the Eight Sources of Bias.

机构信息

University College London (UCL), London WC1H 9EZ, United Kingdom.

出版信息

Anal Chem. 2020 Jun 16;92(12):7998-8004. doi: 10.1021/acs.analchem.0c00704. Epub 2020 Jun 8.

Abstract

Fallacies about the nature of biases have shadowed a proper cognitive understanding of biases and their sources, which in turn lead to ways that minimize their impact. Six such fallacies are presented: it is an ethical issue, only applies to "bad apples", experts are impartial and immune, technology eliminates bias, blind spot, and the illusion of control. Then, eight sources of bias are discussed and conceptualized within three categories: (A) factors that relate to the specific case and analysis, which include the data, reference materials, and contextual information, (B) factors that relate to the specific person doing the analysis, which include past experience base rates, organizational factors, education and training, and personal factors, and lastly, (C) cognitive architecture and human nature that impacts all of us. These factors can impact what the data are (e.g., how data are sampled and collected, or what is considered as noise and therefore disregarded), the actual results (e.g., decisions on testing strategies, how analysis is conducted, and when to stop testing), and the conclusions (e.g., interpretation of the results). The paper concludes with specific measures that can minimize these biases.

摘要

偏见本质上的谬误阻碍了人们对偏见及其来源的正确认知,而这反过来又导致了一些减轻偏见影响的方法。本文提出了六种偏见谬误:它是一个道德问题、只适用于“坏苹果”、专家是公正且不受影响的、技术可以消除偏见、盲点和控制错觉。然后,本文讨论了八种偏见来源,并将其概念化为三类:(A)与特定案例和分析相关的因素,包括数据、参考资料和上下文信息;(B)与进行分析的特定人员相关的因素,包括过去的经验基础率、组织因素、教育和培训以及个人因素;最后,(C)影响我们所有人的认知架构和人性。这些因素可能会影响数据的情况(例如,数据的抽样和收集方式,或者哪些被视为噪声而被忽略)、实际结果(例如,测试策略的决策、分析的进行方式以及何时停止测试)和结论(例如,对结果的解释)。本文最后提出了一些可以最大限度减少这些偏见的具体措施。

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