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Incident 798: Students at Australian Schools Reportedly Used AI Nudification Tools to Create Nonconsensual Sexual Images of Classmates and Teachers

Description: Throughout 2024, schools in Australia reportedly dealt with a significant rise and proliferation of nonconsensual deepfake pornography of students. Often, male students are reported to use "nudify" apps such as Undress AI with images of their classmates and teachers. Many of the sites have reportedly remained legal and allegedly accessible to minors, who in turn are purportedly using the sites to generate pornography of their peers.

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Alleged: Undress AI , Deepfake technology developers , Synthetic media generation technology developers , Synthetic video generation technology developers and Image generation technology developers developed an AI system deployed by Deepfake creators and Australian students, which harmed Minors , Educational communities , Victims of deepfake abuse , Victims of deepfake child abuse , Epistemic integrity , Students in Australia , Minors in Australia , Girls , Women , Teachers and Educators.
Alleged implicated AI systems: Undress AI , AI nudification tools , Deepfake technology and Synthetic media generation technology

Incident Stats

Incident ID
798
Report Count
1
Incident Date
2024-06-29
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
 

AI

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
 

Unintentional

Incident Reports

Reports Timeline

+1
Inside the AI ‘deepnude’ apps infiltrating Australian schools
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Inside the AI ‘deepnude’ apps infiltrating Australian schools

Inside the AI ‘deepnude’ apps infiltrating Australian schools

smh.com.au

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Inside the AI ‘deepnude’ apps infiltrating Australian schools
smh.com.au · 2024

"See anybody nude for free," the website's tagline reads.

"Just paint over the clothes, set age and body type, and get a deepnude in a few seconds."

More than 100,000 people use the "Undress AI" website every day, according to its parent co…

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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Nov 2023 · 2 reports
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