Black Girls’ Development of Sociocritical AI Literacies Through Critique and Design

This article presents a study investigating how Black middle school girls engaged in a design curriculum to develop sociocritical artificial intelligence (AI) literacies: the capacity to interrogate, critique, and reimagine AI systems while integrating one’s own sociocultural practices. Grounded in critical race technology theory and Black feminist thought, the study foregrounds Black girls’ lived experiences and epistemologies. Over eight weeks, students engaged in learning activities that combined technical skill development with sociopolitical critique. Using epistemic network analysis, we identified distinct discourse patterns across three activity phases: Interact and Critique, Critique and Reimagine, and Reimagine and Build. Findings reveal that students not only acquired technical knowledge of machine learning but also exercised agency, emotion, and creativity in resisting deficit narratives and designing technologies aligned with their identities and communities. This work advances a vision for AI education that is emotionally affirming and justice driven.

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Publication Details

Journal
Equity & Excellence in Education
Published
2026-06-12
DOI
https://doi.org/10.1080/10665684.2026.2686607
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00

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article

Black Girls’ Development of Sociocritical AI Literacies Through Critique and Design

Golnaz Arastoopour Irgens, Alicia C. Lane, Atefeh Behboudi, Ashley Markatos
Equity & Excellence in Education
Teaching and Learning Programming
article

Black Girls’ Development of Sociocritical AI Literacies Through Critique and Design

Golnaz Arastoopour Irgens, Alicia C. Lane, Atefeh Behboudi, Ashley Markatos
article en

Abstract

This article presents a study investigating how Black middle school girls engaged in a design curriculum to develop sociocritical artificial intelligence (AI) literacies: the capacity to interrogate, critique, and reimagine AI systems while integrating one’s own sociocultural practices. Grounded in critical race technology theory and Black feminist thought, the study foregrounds Black girls’ lived experiences and epistemologies. Over eight weeks, students engaged in learning activities that combined technical skill development with sociopolitical critique. Using epistemic network analysis, we identified distinct discourse patterns across three activity phases: Interact and Critique, Critique and Reimagine, and Reimagine and Build. Findings reveal that students not only acquired technical knowledge of machine learning but also exercised agency, emotion, and creativity in resisting deficit narratives and designing technologies aligned with their identities and communities. This work advances a vision for AI education that is emotionally affirming and justice driven.

Equity & Excellence in Education
Vanderbilt University (US)
National Science Foundation, Vanderbilt University, Peabody College
Quality Education
Openalex Percentile: Top 3%
Teaching and Learning Programming
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