Text-to-image models generating single-person software engineering images predominantly depict men, with a strong significant effect for both evaluated models¶
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Evidence · 1 study · causalr2·q2·i3large
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly
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Reading the evidence codes
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q2 i3 Single-person images show significant gender bias with strong effect sizes (GPT Image 2: p<0.001, V=0.64; Imagen 4: p<0.001, V=0.65), with the majority of depicted individuals being men. → Erfan Entezami 2026
Evidence¶
Erfan Entezami 2026¶
Erfan Entezami, Andrew Lan, and Madeline Endres. (2026). Generative AI May Reinforce Social Biases in Software Engineering Education. arXiv preprint. https://arxiv.org/abs/2609.28483 doi:10.48550/arxiv.2609.28483
q2 · i3 · causal · r2
Analysis of 500 images (250 per model) generated from 25 prompts extracted from real software engineering course materials; chi-square tests with Cramér's V effect sizes V=0.64 (GPT Image 2) and V=0.65 (Imagen 4), labeled by two annotators using defined codebooks.
"Our statistical analysis reveals a significant gender bias with a strong effect size for both models inSingle-personimages (GPT Image 2: 𝑝< 0.001, 𝑉= 0.64and Imagen 4: 𝑝< 0.001, 𝑉= 0.65), where the majority of depicted individuals are men."
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
single-person-image-gender-bias |
title |
Text-to-image models generating single-person software engineering images predominantly depict men, with a strong significant effect for both evaluated models |
description |
Text-to-image models generating single-person software engineering images predominantly depict men, with a strong significant effect for both evaluated models |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — erfan-entezami-2026 |
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