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

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

来源:Arxiv_logoArxiv
英文摘要

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.

Xingyu Lan、Jiaxi An、Yisu Guo、Chiyou Tong、Xintong Cai、Jun Zhang

信息传播、知识传播计算技术、计算机技术

Xingyu Lan,Jiaxi An,Yisu Guo,Chiyou Tong,Xintong Cai,Jun Zhang.Imagining the Far East: Exploring Perceived Biases in AI-Generated Images of East Asian Women[EB/OL].(2025-04-07)[2025-04-26].https://arxiv.org/abs/2504.04865.点此复制

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