# AI-Generated Sexual Imagery Abuse is Increasingly Prevalent New research reveals one in fourteen adults face AI-driven non-consensual sexual imagery abuse. - **Source:** [Sci.News: Breaking Science News](https://www.sci.news/) - **Published:** 2026-11-04 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/f6ee93cb-ce7d-49da-bd19-4725bb41305b ## Widespread AI Abuse Prevalence A peer-reviewed study involving 7,230 adults across Australia, the United Kingdom, and the United States reveals that approximately one in 14 individuals has experienced AI-generated sexual abuse. Published in the International Journal of Human-Computer Interaction, the data highlights that this issue extends far beyond public figures, impacting diverse members of the general community. ## Regional Victimization Rate Variations The research indicates that victimization rates vary significantly by region, with Britain reporting the highest incidence at 9.3%. Australia follows closely at 7.7%, while the United States reports 6.5%. These figures specifically account for AI-involved abuse, excluding other forms of digitally altered intimate images, which collectively affect 15.1% of the surveyed population. ## Specific Tactics and Threats Abuse manifests through three primary channels: creation, sharing, and threats. Specifically, 4.3% of respondents reported unauthorized creation of AI-generated intimate images, while 4.4% faced the distribution of such content. Additionally, 3.6% of participants experienced threats of sharing, a tactic frequently utilized in sextortion schemes to coerce victims into further compliance or distress. ## Demographic Vulnerability and Impact Victimization is disproportionately higher among individuals under 35, LGBTQ+ respondents, people of color, and those with disabilities. The psychological impact is severe, with 90.3% of victims reporting negative feelings and 86.7% noting tangible negative life consequences. Women are significantly more likely to report feeling unsafe, depressed, or fearful compared to their male counterparts. ## Perpetrator Profiles and Relationships Most victims, totaling 55.6%, identified the perpetrator as someone known only through online interactions. Only 30% had interacted with the offender in person, while 14.6% remained unaware of the perpetrator's identity. Among known relationships, strangers were the most common category at 21.4%, followed by friends at 14.2% and former romantic partners at 9.2%. ## Gender Dynamics in Perpetration Perpetrators were most frequently identified as men, accounting for 47.4% of reported cases. However, 36.7% of victims named a woman as the responsible party. Researchers caution that this figure may be skewed by scammers who adopt female personas online to facilitate their activities, complicating the identification of the actual individuals behind the abuse. ## The Hidden Scale of Abuse Professor Nicola Henry emphasizes that the true scale of this abuse likely exceeds current findings. Many victims may remain entirely unaware that AI-generated images of them have been created or circulated. This lack of visibility suggests that the current statistics represent only the known instances of victimization within the surveyed regions. ## Future Risks of Generative AI As generative AI tools become increasingly accessible to the general public, the potential for misuse in creating non-consensual intimate imagery continues to rise. While the current study provides a baseline, researchers remain uncertain about how rapidly these technological advancements will translate into increased rates of victimization across the broader global community in coming years. ## Sources covering this story - https://www.sci.news/othersciences/computerscience/ai-generated-sexual-imagery-abuse-15173.html — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._