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Incident 1315: Purportedly AI-Generated Nude Images of Middle School Students Reportedly Circulated at Louisiana School

Description: Purportedly AI-generated sexually explicit images depicting a 13-year-old student and other middle school students were reportedly created and circulated at a Louisiana school. The images were shared via social media and shown to students on campus, resulting in ongoing harassment and psychological harm. After the images were displayed on a school bus, the affected student became involved in a physical altercation and was expelled.
Editor Notes: Timeline note: The incident ID of 08/26/2025 comes from the earliest reported date when school officials were made aware of the circulation of the purported deepfake images. The Associated Press published their report on this incident on 12/22/2025. The incident ID was created 12/24/2025.

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Alleged: Image generator developers and Deepfake technology developers developed an AI system deployed by Unnamed students at Sixth Ward Middle School, which harmed Students at Sixth Ward Middle School , Families of students at Sixth Ward Middle School , Students , Middle school students , Educational communities and Epistemic integrity.
Alleged implicated AI systems: Social media platforms , Snapchat , Image generation technology and Deepfake technology

Incident Stats

Incident ID
1315
Report Count
2
Incident Date
2025-08-26
Editors
Daniel Atherton
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

4.3. Fraud, scams, and targeted manipulation

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. Malicious Actors & Misuse

Entity

Which, if any, entity is presented as the main cause of the risk
 

Human

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Intentional

Incident Reports

Reports Timeline

Incident Occurrence+1
Boys at her school shared AI-generated, nude images of her. After a fight, she was the one expelled
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Boys at her school shared AI-generated, nude images of her. After a fight, she was the one expelled

Boys at her school shared AI-generated, nude images of her. After a fight, she was the one expelled

apnews.com

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The rise of deepfake cyberbullying poses a growing problem for schools

The rise of deepfake cyberbullying poses a growing problem for schools

apnews.com

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Boys at her school shared AI-generated, nude images of her. After a fight, she was the one expelled
apnews.com · 2025

THIBODAUX, La. (AP) --- The teasing was relentless. Nude images of a 13-year-old girl and her friends, generated by artificial intelligence, were circulating on social media and had become the talk of a Louisiana middle school.

The girls be…

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The rise of deepfake cyberbullying poses a growing problem for schools
apnews.com · 2025

chools are facing a growing problem of students using artificial intelligence to transform innocent images of classmates into sexually explicit deepfakes.

The fallout from the spread of the manipulated photos and videos can create a nightma…

Variants

A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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