Holden LaTasha R, Tanenbaum Gabriel J
Department of Psychology, University of Illinois Urbana-Champaign, Champaign, IL 61820, USA.
Beckman Institute, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
J Intell. 2023 Jun 20;11(6):126. doi: 10.3390/jintelligence11060126.
Historically, assessments of human intelligence have been virtually synonymous with practices that contributed to forms of inequality and injustice. As such, modern considerations for assessing human intelligence must focus on equity and fairness. First, we highlight the array of diversity, equity, and inclusion concerns in assessment practices and discuss strategies for addressing them. Next, we define a modern, non-, emergent view of intelligence using the process overlap theory and argue for its use in improving equitable practices. We then review the empirical evidence, focusing on sub-measures of to highlight the utility of non-, emergent models in promoting equity and fairness. We conclude with suggestions for researchers and practitioners.
从历史上看，对人类智力的评估实际上一直与导致不平等和不公正形式的做法同义。因此，现代对人类智力评估的考量必须关注公平和公正。首先，我们强调评估实践中一系列的多样性、公平性和包容性问题，并讨论解决这些问题的策略。接下来，我们使用过程重叠理论定义一种现代的、非传统的、新兴的智力观，并主张将其用于改进公平实践。然后，我们回顾实证证据，重点关注……的子测量方法，以突出非传统、新兴模型在促进公平和公正方面的效用。我们最后为研究人员和从业者提出建议。 （原文中“focusing on sub-measures of ”后面内容缺失）
