“AI Cannot Speak African”: An Intersectional Feminist Perspective on South African Women's AI Engagement

ABSTRACT Using an intersectional feminist perspective, this study investigates intersectional inequalities in artificial intelligence (AI) engagement among underrepresented non‐Western women. The study employs a qualitative approach and interviews 16 corporate women in South Africa of different races. The findings reveal the compounding impact of intersectional marginalities, namely, gender, race, language, and non‐Western geographical location. The deficit narratives of Africa and African women in the AI‐generated outputs, lack of inclusive design in the AI systems, and weak governance in South Africa further produced exclusions in broader knowledge infrastructures and historically constituted geopolitical relations of technological power. This study contributes to the literature by revealing that the current AI landscape is perpetuating not only the exclusion of women but also that of non‐Western and specifically African sources. South Africa is not only an empirical site to examine feminist AI concerns but also offers a unique context to theorize how AI reproduces gendered hierarchies alongside wider geopolitical hierarchies.

Authors

Institutions

Publication Details

Journal
Gender Work and Organization
Published
2026-10-29
DOI
https://doi.org/10.1111/gwao.70284
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

“AI Cannot Speak African”: An Intersectional Feminist Perspective on South African Women's AI Engagement

Poh Yen Ng, Chow Siing Sia, Caren Scheepers
3 links
Gender Work and Organization
Ethics and Social Impacts of AI
article

“AI Cannot Speak African”: An Intersectional Feminist Perspective on South African Women's AI Engagement

Poh Yen Ng, Chow Siing Sia, Caren Scheepers
article en

Abstract

ABSTRACT Using an intersectional feminist perspective, this study investigates intersectional inequalities in artificial intelligence (AI) engagement among underrepresented non‐Western women. The study employs a qualitative approach and interviews 16 corporate women in South Africa of different races. The findings reveal the compounding impact of intersectional marginalities, namely, gender, race, language, and non‐Western geographical location. The deficit narratives of Africa and African women in the AI‐generated outputs, lack of inclusive design in the AI systems, and weak governance in South Africa further produced exclusions in broader knowledge infrastructures and historically constituted geopolitical relations of technological power. This study contributes to the literature by revealing that the current AI landscape is perpetuating not only the exclusion of women but also that of non‐Western and specifically African sources. South Africa is not only an empirical site to examine feminist AI concerns but also offers a unique context to theorize how AI reproduces gendered hierarchies alongside wider geopolitical hierarchies.

Gender Work and Organization
Robert Gordon University (GB), University of Pretoria (ZA), Cardiff Metropolitan University (GB)
Gender equality, Reduced inequalities
Openalex Percentile: Top 13%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon