arXiv cs.CY· Amalia Foka·· 11 小时前AI 评分31
She Works, He Works：AI 生成图像中性别偏见的跨学科探索
She Works, He Works: A Curious Exploration of Gender Bias in AI-Generated Imagery
AI 导读
She Works, He Works 项目通过对比男性和女性建筑工人的文生图输出，揭示生成式 AI 中的性别偏见：女性形象偏向美感与灵巧，男性则偏向权威与专业感。该研究结合女性主义视觉理论与艺术实践，将 AI 视为兼具技术与文化属性的行动者，呼吁透明实践、多样化数据集及对 AI 文化影响的反思性参与。成果发表于 ISEA 2025 会议论文集。
正文 · 原文
Abstract:She Works, He Works is an interdisciplinary project that combines feminist visual theory, AI critique, and artistic practice to examine gender representation in AI-generated imagery. By juxtaposing text-to-image outputs of male and female construction workers, it reveals how societal biases manifest in generative AI systems. The study employs critically crafted prompts that blend traditionally gendered traits with unconventional contexts, exposing disparities in representation-emphasizing aesthetics and agility for women versus authority and professionalism for men. Grounded in Griselda Pollock's feminist insights on visual culture, the project positions AI as both a technological and cultural actor, capable of perpetuating stereotypes and enabling critique. As both a study and an artwork, the project underscores the transformative potential of AI to reimagine gender norms and inspire equitable narratives. It highlights the ethical implications of AI in creative industries, calling for transparent practices, diverse datasets, and reflexive engagement with AI's cultural impact. Through its integration of critical analysis and artistic exploration, She Works, He Works contributes to broader discussions on inclusive AI development and the role of art in fostering societal change. This dual approach showcases the power of AI as a medium for critique and a tool for envisioning more just and inclusive futures.
| Comments: | 9 pages, 8 figures. Published in the Proceedings of the 30th International Symposium on Electronic Art (ISEA 2025), Seoul, 2025. v2: substantially revised version as published at ISEA 2025 (v1 title: 'She Works, He Works: A Curious Exploration of Gender Bias in AI-Generated Imagery') |
| Subjects: | Computers and Society (cs.CY); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV) |
| ACM classes: | I.2.0; J.5; K.4.2 |
| Cite as: | arXiv:2407.18524 [cs.CY] |
| (or arXiv:2407.18524v2 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2407.18524 arXiv-issued DOI via DataCite |
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| Journal reference: | Proceedings of the 30th International Symposium on Electronic Art (ISEA 2025), Seoul, Republic of Korea, 2025 |
Submission history
From: Amalia Foka [view email]
[v1]
Fri, 26 Jul 2024 05:56:18 UTC (1,560 KB)
[v2]
Tue, 27 Oct 2026 05:21:14 UTC (5,973 KB)
来源：arXiv cs.CY · arxiv.org