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Middle school students in Goffstown, New Hampshire, used an AI-powered mobile application to create and distribute non-consensual sexualized deepfake imagery of their female classmates. The incident caused significant emotional harm to the victims, who expressed fear about returning to school. Parents criticized the school district's delayed response and lack of transparency regarding the incident.
In Goffstown, New Hampshire, unnamed eighth-grade boys at Mountain View Middle School allegedly used an AI-enabled app to create and circulate sexualized deepfake images and videos depicting female classmates.
Domain classification, causal taxonomy, severity scores, and national security assessments were LLM-classified and may contain errors.
Using AI systems to gain a personal advantage over others such as through cheating, fraud, scams, blackmail or targeted manipulation of beliefs or behavior. Examples include AI-facilitated plagiarism for research or education, impersonating a trusted or fake individual for illegitimate financial benefit, or creating humiliating or sexual imagery.
Also classified as
The AI system was used to generate and distribute sexually explicit, abusive, and inappropriate content depicting minors among middle school students.
The incident involves the targeted creation of humiliating and sexual synthetic imagery of specific victims for personal amusement or harassment, which aligns with the boundary rule B1 for targeted exploitation of public likeness.
Human
Due to a decision or action made by humans
Intentional
Due to an expected outcome from pursuing a goal
Post-deployment
Occurring after the AI model has been trained and deployed
The harm was caused by the intentional decision of human users (the students) to use a deployed AI application to generate and distribute non-consensual explicit deepfakes of their classmates.
Added categories peak at 3: Substantial (Child Sexual Exploitation & Abuse (CSEA), Direct)
Middle school students in New Hampshire used an AI-powered app to generate and distribute non-consensual explicit deepfakes of classmates. While causing severe localized psychological harm and violating the victims' privacy, the incident has negligible national security implications and is manageable through local educational and law enforcement procedures.
The AI application functions as a tool that performs a specific, deterministic image-manipulation task ('undressing' a photo) based on direct user input without autonomous planning or context retention.
Limited Risk: The system is used to generate deepfakes, which are subject to specific transparency obligations under the EU AI Act to ensure users are aware the content is synthetic.
The AI application was used specifically to generate deepfake naked photos and videos of the victims by 'undressing' their real photos.
The report provides clear, direct accounts from the victims' parents and details the specific nature of the AI abuse, the age of the students, and the school's response. The facts are consistent and sufficient to classify the incident with high confidence.
None. The incident is clearly a case of targeted harassment and non-consensual deepfake generation involving minors.
Technology
AI Undressing App Accessibility
Easy-to-use AI apps allow users to easily generate non-consensual deepfakes.
Low Barrier to Image Generation
AI requires only a single standard photograph to generate realistic deepfakes.
Data Inputs
Unrestricted Personal Photos
Standard, easily accessible photos of classmates were used as inputs to the AI.
Human Factors
Lack of Student Empathy
Students failed to comprehend the severe emotional impact of sharing deepfakes.
Peer Pressure and Sharing Culture
Students shared the generated explicit content amongst their peer group.
Lack of Parental Phone Monitoring
Parents did not monitor phone usage or apps installed by their children.
Process and Methods
Delayed Parent Notification
The school district took a month to notify parents about the AI incident.
Lack of School AI Education
Schools lacked established programs to educate students on AI dangers.
Management
Prioritizing Legal Confidentiality
Prioritizing legal confidentiality delayed transparent communication by school.
Inadequate School Incident Response
The school district lacked a rapid, proactive response protocol for AI abuse.
Regulatory Environment
Lack of AI App Regulations
Absence of regulations governing the creation and distribution of AI apps.
AI system involved
An AI system was involved, but the reports do not identify it.
Identified by automated extraction; can differ from the alleged developers above.
