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Incident 1266: Purportedly AI-Generated Sexual Images of At Least 400 Minors at Zacatecas School Were Reportedly Created and Sold Online

Description: A student at Escuela Secundaria Técnica No. 1 in Zacatecas, Mexico, allegedly used an AI image-generation system to create sexually explicit manipulated images of classmates. According to victims and parents, the student reportedly produced a catalog containing images of more than 400 minors, organized by grade and group, and distributed or sold the material online. Students reported that the perpetrator took photos around the school to use as inputs. The Fiscalía de Zacatecas opened an investigation for crimes against sexual privacy and offered psychological and legal support to victims. The manipulated images are reportedly believed to have circulated beyond the school.

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Alleged: Deepfake technology developers developed an AI system deployed by Unnamed student(s) from Zacatecas, which harmed Students of Escuela Secundaria Técnica No. 1 in Zacatecas , Family of students of Escuela Secundaria Técnica No. 1 in Zacatecas , Epistemic integrity , Students , high school students , Minors and Educational communities.
Alleged implicated AI system: Deepfake technology developers

Incident Stats

Incident ID
1266
Report Count
1
Incident Date
2025-11-10
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

+1
Student uses AI to alter photos of classmates and creates a catalog of adult content, which he then sells online
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Student uses AI to alter photos of classmates and creates a catalog of adult content, which he then sells online

Student uses AI to alter photos of classmates and creates a catalog of adult content, which he then sells online

heraldodemexico.com.mx

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Student uses AI to alter photos of classmates and creates a catalog of adult content, which he then sells online
heraldodemexico.com.mx · 2025
AI Translated

At least 400 students from Technical Secondary School Number 1 in the capital of Zacatecas were victims of a classmate who, with the help of artificial intelligence, created a pornographic catalog with manipulated images of the minors and d…

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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