‘Person’ == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable Diffusion

Sourojit Ghosh · Aylin Caliskan

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Ethics and Social Impacts of AI Generative Adversarial Networks and Image Synthesis Media, Gender, and Advertising

Abstract

We study stereotypes embedded within one of the most popular text-to-image generators: Stable Diffusion.We examine what stereotypes of gender and nationality/continental identity does Stable Diffusion display in the absence of such information i.e. what gender and nationality/continental identity is assigned to 'a person', or to 'a person from Asia'.Using vision-language model CLIP's cosine similarity to compare images generated by CLIP-based Stable Diffusion v2.1 verified by manual examination, we chronicle results from 136 prompts (50 results/prompt) of front-facing images of persons from 6 different continents, 27 nationalities and 3 genders.We observe how Stable Diffusion outputs of 'a person' without any additional gender/nationality information correspond closest to images of men (avg.cosine similarity 0.64) and least with persons of nonbinary gender (avg.cosine similarity 0.41), and to persons from Europe/North America (avg.cosine similarities 0.71 and 0.68, respectively) over Africa/Asia (avg.cosine similarities 0.43 and 0.41, respectively), pointing towards Stable Diffusion having a concerning representation of personhood to be a European/North American man.We also show continental stereotypes and resultant harms e.g. a person from Oceania is deemed to be Australian/New Zealander (avg.cosine similarities 0.77 and 0.74, respectively) over Papua New Guinean (avg.cosine similarity 0.31), pointing to the erasure of Indigenous Oceanic peoples, who form a majority over descendants of colonizers both in Papua New Guinea and in Oceania overall.Finally, we unexpectedly observe a pattern of oversexualization of women, specifically Latin American, Mexican, Indian and Egyptian women relative to other nationalities, measured through an NSFW detector.This demonstrates how Stable Diffusion perpetuates Western fetishization of women of color through objectification in media, which if left unchecked will amplify this stereotypical representation.Image datasets are made publicly available.

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2023Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics 2017Semantics derived automatically from language corpora contain human-like biases 2018Algorithms of Oppression 2020Race after technology. Abolitionist tools for the new Jim Code 2023Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale 2002"Either/Or" and "Both/Neither": Discursive Tensions in Transgender Politics -- TEST 2021Multimodal datasets: misogyny, pornography, and malignant stereotypes 2023ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource Languages

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