Year: 2023
Type: article
Abstract: 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-g, emergent view of intelligence using Process Overlap Theory and argue for its use in improving equitable practices. We then review empirical evidence focusing on sub-measures of g to highlight the utility of non-g, emergent models in promoting equity and fairness. We conclude with suggestions for researchers and practitioners.
Source: Journal of Intelligence
Institution: University of Illinois Urbana-Champaign
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
SDG: Reduced inequalities
Open Access status: gold
Estimated APC paid: $1,557
OpenAlex ID: W4381662746