This article explores how contemporary text-to-image (T2I) systems routinely minimise or “correct” aquiline noses in AI-generated images, a phenomenon the authors term “non-consensual rhinoplasty”. Despite explicit prompts for pronounced nasal features, many models systematically smooth out dorsal humps, with 92% of generated images displaying a non-convex profile. Situating these findings in a broader cultural and historical context, the article examines how entrenched beauty standards and physiognomic biases shape both AI training data and societal perceptions. It highlights how content moderation, algorithmic “beautification,” and dataset limitations further erase natural variation. To address this bias, the article proposes solutions such as community-led awareness campaigns, petitions for greater transparency in AI development, and technical refinements like prompt sliders for nasal prominence. By outlining these strategies, it advocates for AI innovation that prioritises cultural sensitivity and equitable representation.
The dynamic development of generative artificial intelligence systems constructing textual visual and audio content based on prompts (queries, descriptions, and tags) raises numerous questions regarding issues such as creative autonomy, the impact of automation on art generation processes, the value of typically human creativity, the scope of copyright, and intellectual property rights. Automatically generated texts, images, and sounds prompt experimentation and evoke both fascination and dread. In the article, I would like to focus on the impact of such tools on the realm of pornography. In the era of platforms based on systems like DALL-E, Midjourney, or Stable Diffusion, which typically censor erotic and pornographic content, the automatic creation of images depicting explicit sexual scenes primarily occurs through dedicated and increasingly numerous services such as Pornpen.ai, Promptchan.ai, PornX.ai, PornWorks.ai, PornJoy.ai, and others. The text will illustrate what types of technologies and cultural practices historically led to the emergence of AI pornographic services and to what extent existing theoretical concepts about pornography fit the description and interpretation of such phenomena. I will also highlight the current offerings of such services regarding their functionalities and capabilities for generating pornographic content. A significant portion of the article will analyze selected samples of Pornpen.ai content. The perception of images generated with the involvement of artificial intelligence scripts using this platform evokes a specific sense of otherness in both their aesthetic and narrative layers. This kind of new “uncanny valley” and those human-nonhuman narrative dynamics around sexuality will be the subject of my reflection in the final part of the discourse.
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