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RMIT study finds 7% experienced AI-generated image abuse

4 NOVEMBER 2026·2 MIN READ·3 SOURCES

A survey of more than 7,200 adults in the United States, the United Kingdom and Australia found that 7% had experienced at least one form of AI-generated image-based abuse since turning 18. The research was led by RMIT Professor Nicola Henry with support from Google.

RMIT study finds 7% experienced AI-generated image abuse

Key takeaways · 4

  • 01

    The survey’s overall victimisation figure was 7%; among respondents in Australia, it was 7.7%.

  • 02

    Almost 87% of victim-survivors reported at least one impact on their lives.

  • 03

    Text messages and group messages were common channels for sharing images, at 28.7% and 29.9%, respectively.

  • 04

    The victimisation study was published in the International Journal of Human–Computer Interaction.

What the survey counted

The survey covered more than 7,200 adults across the United States, the United Kingdom and Australia.[1] Its 7% figure refers to respondents who had experienced at least one form of AI-generated image-based abuse since turning 18.[1] The study included non-consensual creation or alteration of an intimate image, non-consensual sharing, and threats to share an image.[1] When the definition included all forms of digital image manipulation, 15.1% of respondents said they had been victimised.[3] These are distinct measures, so the broader figure should not be read as the prevalence of the narrower AI-generated abuse category.

Who reported abuse and impact

Men reported experiencing the abuse at a higher rate than women: 10.2%, compared with 3.8%.[1] The study also reported higher abuse rates among people under 35, people from racial and ethnic minority backgrounds, men and people with disability.[1] People with disability were 1.89 times more likely to report victimisation, while people from racial and ethnic minority backgrounds were 1.70 times more likely to report being targeted.[3] Almost 87% of victim-survivors reported at least one impact.[1] Women reported more negative reactions and impacts, including fear for their safety and effects on mental and physical health.[1]

How images were shared

Text messages and group messages were common sharing channels, accounting for 28.7% and 29.9%, respectively.[3] Among respondents who admitted perpetrating the abuse, former intimate partners were the most commonly reported targets, at 16.7%.[3] The most commonly reported reasons for creating AI-generated intimate images were experimenting with the technology and showing off.[3] Among people who shared such images, the most commonly reported motivation was doing it for fun or as a joke.[1] These reported motives and channels can help teams frame prevention and reporting guidance around the ways the study says abuse occurs.

Attitudes and study context

In a community attitudes study, 88.9% of respondents considered AI-generated image-based sexual abuse totally or somewhat unacceptable.[3] In a vignette experiment, respondents judged creating and distributing AI-generated intimate images of celebrities as less unacceptable than doing the same to an intimate partner.[3] Almost one in five adults reported deliberately viewing AI-generated sexual images of real people, excluding those who viewed them solely to report or remove them.[1] The victimisation study was published in the International Journal of Human–Computer Interaction, and the research program was funded by Google.[1]

Professionals responsible for platforms, policy and user support can use the findings to examine where prevention and response measures may be most needed. The study distinguishes between types of abuse and reports different experiences across groups, making those distinctions useful when designing safeguards and support pathways.

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How this developed

  1. 4 November 2026

    RMIT study finds 7% experienced AI-generated image abuse

Sources

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