Description: Throughout 2024, schools in Australia dealt with a significant rise and proliferation of non-consensual 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 remained legal and accessible to minors, who in turn are using the sites to generate pornography of their peers.
Entities
View all entitiesAlleged: Undress AI and Unknown deepfake technology developers developed an AI system deployed by Australian students and Unknown deepfake creators, which harmed Australian students and Australian children.
Incident Stats
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.
- 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
"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 incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.
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