When Algorithms Play Favorites: Lookism in the Generation and Perception of Faces
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866908498170740736 |
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| author | Doh, Miriam Gulati, Aditya Mancas, Matei Oliver, Nuria |
| author_facet | Doh, Miriam Gulati, Aditya Mancas, Matei Oliver, Nuria |
| contents | This paper examines how synthetically generated faces and machine learning-based gender classification algorithms are affected by algorithmic lookism, the preferential treatment based on appearance. In experiments with 13,200 synthetically generated faces, we find that: (1) text-to-image (T2I) systems tend to associate facial attractiveness to unrelated positive traits like intelligence and trustworthiness; and (2) gender classification models exhibit higher error rates on "less-attractive" faces, especially among non-White women. These result raise fairness concerns regarding digital identity systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_11025 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | When Algorithms Play Favorites: Lookism in the Generation and Perception of Faces Doh, Miriam Gulati, Aditya Mancas, Matei Oliver, Nuria Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition This paper examines how synthetically generated faces and machine learning-based gender classification algorithms are affected by algorithmic lookism, the preferential treatment based on appearance. In experiments with 13,200 synthetically generated faces, we find that: (1) text-to-image (T2I) systems tend to associate facial attractiveness to unrelated positive traits like intelligence and trustworthiness; and (2) gender classification models exhibit higher error rates on "less-attractive" faces, especially among non-White women. These result raise fairness concerns regarding digital identity systems. |
| title | When Algorithms Play Favorites: Lookism in the Generation and Perception of Faces |
| topic | Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2506.11025 |