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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.17156 |
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| _version_ | 1866910620156166144 |
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| author | Riccio, Piera Curto, Georgina Hofmann, Thomas Oliver, Nuria |
| author_facet | Riccio, Piera Curto, Georgina Hofmann, Thomas Oliver, Nuria |
| contents | At a time when the influence of generative Artificial Intelligence on visual arts is a highly debated topic, we raise the attention towards a more subtle phenomenon: the algorithmic censorship of artistic nudity online. We analyze the performance of three "Not-Safe-For-Work'' image classifiers on artistic nudity, and empirically uncover the existence of a gender and a stylistic bias, as well as evident technical limitations, especially when only considering visual information. Hence, we propose a multi-modal zero-shot classification approach that improves artistic nudity classification. From our research, we draw several implications that we hope will inform future research on this topic. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_17156 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | An Art-centric perspective on AI-based content moderation of nudity Riccio, Piera Curto, Georgina Hofmann, Thomas Oliver, Nuria Computer Vision and Pattern Recognition Social and Information Networks At a time when the influence of generative Artificial Intelligence on visual arts is a highly debated topic, we raise the attention towards a more subtle phenomenon: the algorithmic censorship of artistic nudity online. We analyze the performance of three "Not-Safe-For-Work'' image classifiers on artistic nudity, and empirically uncover the existence of a gender and a stylistic bias, as well as evident technical limitations, especially when only considering visual information. Hence, we propose a multi-modal zero-shot classification approach that improves artistic nudity classification. From our research, we draw several implications that we hope will inform future research on this topic. |
| title | An Art-centric perspective on AI-based content moderation of nudity |
| topic | Computer Vision and Pattern Recognition Social and Information Networks |
| url | https://arxiv.org/abs/2409.17156 |