# Anorexigenic AI: body image bias in AI-generated depictions of women - URL: https://alisanburak.com/en/wcp-2026-posterler/ev0443 - Language: en - Last updated: not specified - Page title: Anorexigenic AI: body image bias in AI-generated depictions of women | WCP 2026 Summary > Images of women generated by text-to-image AI tools are perceived as markedly thinner than United States population data would suggest, with higher occupationa… This page was translated automatically from Turkish. [Read the original](https://alisanburak.com/wcp-2026-posterler/ev0443) This page is an AI-assisted Turkish summary of the study presented at the 26th World Congress of Psychiatry. The study belongs to the presenting authors; please refer to the original source when citing it. EV0443 E-PosterDigital Psychiatry and Artificial IntelligenceCross-sectional study # Anorexigenic AI: body image bias in AI-generated depictions of women ANOREXIGENIC AI: BODY IMAGE BIAS IN AI-GENERATED PORTRAYALS OF WOMEN Presenter: Najud Al Dugheithir Country: Saudi Arabia Institution: University of Liverpool Images of women generated by text-to-image AI tools are perceived as markedly thinner than United States population data would suggest, with higher occupational prestige associated with slimmer body size estimates. The aim was to examine the extent of body image bias in AI-generated images of women across various occupational categories. Images of women in different occupations were generated using three widely used generative AI tools with standardized prompts that did not specify body shape or size (for example, draw a female lawyer). A total of 129 adult women living in the United States rated these images in terms of body size and, by extension, weight status using an abbreviated version of the Stunkard Figure Rating Scale. The study hypothesized that the proportion of AI-depicted women perceived as underweight would exceed the prevalence of underweight in the United States female population, and that perceived body size would be inversely associated with occupational status. Of the AI-generated depictions, 16.64% were perceived as overweight and 7.76% as underweight. By comparison, according to World Health Organization estimates, 70.3% of women in the United States are overweight and 2.3% are underweight; the graph in the poster shows a normal-weight proportion of 75.58% for the AI images, compared with a population estimate of 28.5%. As hypothesized, higher occupational prestige was also associated with slimmer body size estimates. The authors state that these preliminary findings suggest that text-to-image AI may reinforce anorexigenic body image bias, that the tendency to depict women in high-status occupations as thinner may increase weight stigma, and that this may have public health implications given the rapid adoption of AI. Statistical test values were not provided in the poster. [View the original poster](https://cslide.ctimeetingtech.com/wcp26/attendee/eposter/file/227) How to cite this study APA 7: Thomas, J., Al-Beyahi, F., & Dugheithir, N. A. (2026, September 23-26). Anorexigenic ai: body image bias in ai-generated portrayals of women [E-poster]. 26th WPA World Congress of Psychiatry (WCP 2026), Stockholm, Sweden. https://cslide.ctimeetingtech.com/wcp26/attendee/eposter/file/227 Vancouver: Thomas J, Al-Beyahi F, Dugheithir NA. Anorexigenic ai: body image bias in ai-generated portrayals of women [e-poster]. 26th WPA World Congress of Psychiatry (WCP 2026); 2026 Sep 23-26; Stockholm, Sweden. Available from: https://cslide.ctimeetingtech.com/wcp26/attendee/eposter/file/227 Author names and title formatting were generated automatically from the congress system; please check them against the original poster before use. ## On the same topic - [Siber tanıkların davranışını belirleyen etkenler](https://alisanburak.com/en/wcp-2026-posterler/ev0041) - [Z kuşağında sosyal medyanın "lunapark etkisi"nin modellenmesi: örtük değişken yaklaşımı](https://alisanburak.com/en/wcp-2026-posterler/ev0046) - [DEHB'de dijital girişimler: etkililik ve çok modlu tedavi yaklaşımlarına entegrasyon](https://alisanburak.com/en/wcp-2026-posterler/ev0072) - [Algoritmaların inşa ettiği beyinler: dijital çağda DEHB, patolojiyi mi tanılıyoruz yoksa yeni bir normali mi patolojikleştiriyoruz?](https://alisanburak.com/en/wcp-2026-posterler/ev0077) - [Genç erişkin bir örneklemde nomofobi ile yaygın anksiyete bozukluğu arasındaki ilişki](https://alisanburak.com/en/wcp-2026-posterler/ev0111) [All WCP 2026 summaries](https://alisanburak.com/en/wcp-2026-posterler) --- Kaynak / Source: https://alisanburak.com/en/wcp-2026-posterler/ev0443 İletişim / Contact: Bağdat Caddesi, Veli Güneysu Apt. No:453 K:4 D:9, Suadiye / Kadıköy, İstanbul · +90 532 642 95 25 · info@alisanburak.com · https://alisanburak.com/bagdat-caddesi-psikoterapi-iletisim