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| Autor principal: | |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2407.18524 |
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| _version_ | 1866913447044710400 |
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| author | Foka, Amalia |
| author_facet | Foka, Amalia |
| contents | This paper examines gender bias in AI-generated imagery of construction workers, highlighting discrepancies in the portrayal of male and female figures. Grounded in Griselda Pollock's theories on visual culture and gender, the analysis reveals that AI models tend to sexualize female figures while portraying male figures as more authoritative and competent. These findings underscore AI's potential to mirror and perpetuate societal biases, emphasizing the need for critical engagement with AI-generated content. The project contributes to discussions on the ethical implications of AI in creative practices and its broader impact on cultural perceptions of gender. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_18524 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | She Works, He Works: A Curious Exploration of Gender Bias in AI-Generated Imagery Foka, Amalia Computers and Society Artificial Intelligence Computer Vision and Pattern Recognition I.2.0; J.5 This paper examines gender bias in AI-generated imagery of construction workers, highlighting discrepancies in the portrayal of male and female figures. Grounded in Griselda Pollock's theories on visual culture and gender, the analysis reveals that AI models tend to sexualize female figures while portraying male figures as more authoritative and competent. These findings underscore AI's potential to mirror and perpetuate societal biases, emphasizing the need for critical engagement with AI-generated content. The project contributes to discussions on the ethical implications of AI in creative practices and its broader impact on cultural perceptions of gender. |
| title | She Works, He Works: A Curious Exploration of Gender Bias in AI-Generated Imagery |
| topic | Computers and Society Artificial Intelligence Computer Vision and Pattern Recognition I.2.0; J.5 |
| url | https://arxiv.org/abs/2407.18524 |