Modern Assessments of Intelligence Must Be Fair and Equitable

LaTasha R. Holden, Gabriel J. Tanenbaum

Research output: Contribution to journalArticlepeer-review


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 the process overlap theory and argue for its use in improving equitable practices. We then review the 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.
Original languageEnglish (US)
Article number126
JournalJournal of Intelligence
Issue number6
StatePublished - Jun 2023


  • intelligence
  • diversity and inclusion
  • equity and fairness
  • non-discriminatory assessment
  • cognitive assessment
  • process overlap theory
  • non-g

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Education
  • Developmental and Educational Psychology
  • Cognitive Neuroscience


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