An Art-Centric Perspective on AI-Based Content Moderation of Nudity
Abstract
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.
Cite
Text
Riccio et al. "An Art-Centric Perspective on AI-Based Content Moderation of Nudity." European Conference on Computer Vision Workshops, 2024. doi:10.1007/978-3-031-92808-6_8Markdown
[Riccio et al. "An Art-Centric Perspective on AI-Based Content Moderation of Nudity." European Conference on Computer Vision Workshops, 2024.](https://mlanthology.org/eccvw/2024/riccio2024eccvw-artcentric/) doi:10.1007/978-3-031-92808-6_8BibTeX
@inproceedings{riccio2024eccvw-artcentric,
title = {{An Art-Centric Perspective on AI-Based Content Moderation of Nudity}},
author = {Riccio, Piera and Curto, Georgina and Hofmann, Thomas and Oliver, Nuria},
booktitle = {European Conference on Computer Vision Workshops},
year = {2024},
pages = {121-138},
doi = {10.1007/978-3-031-92808-6_8},
url = {https://mlanthology.org/eccvw/2024/riccio2024eccvw-artcentric/}
}