Imagining the Far East: Exploring Perceived Biases in AI-Generated Images of East Asian Women

April 07, 2025 Β· Declared Dead Β· πŸ› CHI Extended Abstracts

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Authors Xingyu Lan, Jiaxi An, Yisu Guo, Chiyou Tong, Xintong Cai, Jun Zhang arXiv ID 2504.04865 Category cs.HC: Human-Computer Interaction Citations 6 Venue CHI Extended Abstracts Last Checked 4 months ago
Abstract
Image-generating AI, which allows users to create images from text, is increasingly used to produce visual content. Despite its advancements, cultural biases in AI-generated images have raised significant concerns. While much research has focused on issues within Western contexts, our study examines the perceived biases regarding the portrayal of East Asian women. In this exploratory study, we invited East Asian users to audit three popular models (DALL-E, Midjourney, Stable Diffusion) and identified 18 specific perceived biases, categorized into four patterns: Westernization, overuse or misuse of cultural symbols, sexualization & feminization, and racial stereotypes. This work highlights the potential challenges posed by AI models in portraying Eastern individuals.
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