AI-generated image-based sexual abuse: Perpetration and consumption across three regions

The rapid pace of advancements in AI, paired with widespread availability and decreasing technical barriers, has resulted in significant concern about the generation of synthetic sexualized imagery (e.g., sexual “deepfakes”). We surveyed a representative sample of 7231 respondents in Australia, the United Kingdom, and the United States to map the prevalence of perpetrating and consuming AI-generated image-based sexual abuse (AI-IBSA). In those three regions, the overall population level rate of creating, sharing, and/or threatening to share images is 3.2%. Men, those under 35, BIPOC respondents, and respondents with a disability are significantly more likely than their counterparts to report these behaviors. 18% of all respondents report deliberately viewing sexual deepfakes, most commonly due to curiosity according to both men and women respondents. These findings suggest that, in addition to working to prevent the creation of nonconsensual AI-generated sexual images, sociotechnical interventions are needed to address the seeming normalization of consuming these images. Potential legal, technical, and educational interventions are discussed. • 3.2% of 7231 representative respondents (Aus, UK, USA) reported perpetrating AI-IBSA. • Men were 3.9 times more likely than women to report perpetration behaviors. • 18.0% of respondents reported viewing AI-generated sexual imagery.

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Publication Details

Journal
Computers in Human Behavior
Published
2026-02-09
DOI
https://doi.org/10.1016/j.chb.2026.108935
Primary Topic
Gender, Feminism, and Media
Type
article
Field-Weighted Citation Impact
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article

AI-generated image-based sexual abuse: Perpetration and consumption across three regions

Renee Shelby, Rebecca Umbach, Kwynn Gonzalez-Pons, Nicola Henry et al.
Computers in Human Behavior
Gender, Feminism, and Media
article

AI-generated image-based sexual abuse: Perpetration and consumption across three regions

Renee Shelby, Rebecca Umbach, Kwynn Gonzalez-Pons, Nicola Henry, Gemma Stevens
article en

Abstract

The rapid pace of advancements in AI, paired with widespread availability and decreasing technical barriers, has resulted in significant concern about the generation of synthetic sexualized imagery (e.g., sexual “deepfakes”). We surveyed a representative sample of 7231 respondents in Australia, the United Kingdom, and the United States to map the prevalence of perpetrating and consuming AI-generated image-based sexual abuse (AI-IBSA). In those three regions, the overall population level rate of creating, sharing, and/or threatening to share images is 3.2%. Men, those under 35, BIPOC respondents, and respondents with a disability are significantly more likely than their counterparts to report these behaviors. 18% of all respondents report deliberately viewing sexual deepfakes, most commonly due to curiosity according to both men and women respondents. These findings suggest that, in addition to working to prevent the creation of nonconsensual AI-generated sexual images, sociotechnical interventions are needed to address the seeming normalization of consuming these images. Potential legal, technical, and educational interventions are discussed. • 3.2% of 7231 representative respondents (Aus, UK, USA) reported perpetrating AI-IBSA. • Men were 3.9 times more likely than women to report perpetration behaviors. • 18.0% of respondents reported viewing AI-generated sexual imagery.

Computers in Human BehaviorVol. 179
Google (United States) (US), MIT University (MK), Education Trust (US), RMIT University (AU)
Gender equality
Openalex Percentile: Top 65%
Gender, Feminism, and Media
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AI-generated image-based sexual abuse: Perpetration and consumption across three regions — Renee Shelby, Rebecca Umbach, et al. · Computers in Human Behavior (2026) | TGRS Research Map | TGRS