At Bacchus Marsh Grammar, a school in Victoria state in Australia, an adolescent male made deepfake pornography of 50 girls, ages 9 to 12. He then allegedly uploaded the pictures to Instagram, and others subsequently shared them on Snapchat.
.avif){kind=small}
A teenage male was arrested following the creation and distribution of AI-generated non-consensual sexually explicit images of approximately 50 female students at Bacchus Marsh Grammar in Australia. The images were created by scraping photos from social media and processing them through AI 'nudifying' applications. The incident caused widespread trauma among the student body and has prompted investigations by Victoria Police and calls for increased cyber safety education and platform regulation.
At Bacchus Marsh Grammar, a school in Victoria state in Australia, an adolescent male made deepfake pornography of 50 girls, ages 9 to 12. He then allegedly uploaded the pictures to Instagram, and others subsequently shared them on Snapchat.
The perpetrator used AI to generate humiliating and sexually explicit deepfake imagery targeting specific female classmates for personal harassment and degradation.
The incident was caused by a human decision to deliberately scrape photos and use an AI app to generate and distribute non-consensual explicit images.
Limited Risk: The system is an AI-generated content generator used to create deepfakes, which falls under transparency obligations for synthetic media under the EU AI Act.
Severity ratings are based on this scale.
Highest direct severity in any category: Substantial. Severity is scored from Negligible to Catastrophic in each harm category, for harm the reports describe as caused directly or indirectly by the AI system.
Reported: The report explicitly describes the creation and distribution of highly graphic, toxic, and sexually explicit synthetic content.
Directly caused: The AI application directly generated highly graphic, non-consensual nude composite images of 50 underage girls.
Indirectly caused: The generated explicit images were shared and circulated across social media platforms, including Instagram and Snapchat.
Reported: The reports explicitly describe this incident as a gendered cultural issue targeting young women and girls.
Indirectly caused: Female students were systematically targeted, sexualized, and harassed, reflecting and reinforcing misogynistic societal dynamics.
Reported: The reports discuss the violation of the girls' rights to safety, respect, and bodily autonomy.
Indirectly caused: The non-consensual creation and distribution of sexually explicit deepfakes violated the personal dignity, privacy, and civil rights of the 50 targeted girls.
Reported: The reports describe the unauthorized scraping of personal photos from social media accounts.
Indirectly caused: The perpetrator violated the privacy of approximately 50 girls by scraping their personal photos from social media (including private accounts) to use as inputs for the AI app.
Reported: The reports explicitly describe severe psychological distress, trauma, and anxiety among the targeted students and their peers.
Indirectly caused: Approximately 50 female students experienced severe trauma, anxiety, and distress after discovering that their likenesses had been used to create explicit fake nudes.
Inferred additional harm: It is highly likely that the wider school community, including parents and friends, suffered ongoing anxiety and psychological distress regarding online safety and privacy.
Reported: The reports describe the creation of highly realistic synthetic images that falsely depict individuals in explicit scenarios.
Directly caused: The AI system generated highly realistic, convincing fake nude images of the victims.
Indirectly caused: The distribution of these deepfakes created false representations of the girls, causing confusion and distress among peers who saw them.
Reported: The reports explicitly note that the faked explicit images of minors are designated as child sexual abuse material (CSAM).
Directly caused: The AI application was used to generate sexually explicit images of underage girls, which legally constitutes CSAM.
Indirectly caused: The generated CSAM depicting approximately 50 underage girls was distributed and shared on social media platforms.
A teenage male in Australia used an AI 'nudifying' application to create and distribute non-consensual sexually explicit deepfakes of approximately 50 female classmates. While causing severe psychological harm to the victims and sparking national debate on AI regulation, the incident's national security impact remains minor, with no threat to critical infrastructure, sovereignty, or intelligence capabilities.