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Incident 784: Child Predators Are Reportedly Generating Deepfake Nudes of Children to Extort Them

Description: Internet Watch Foundation (IWF) has reported that it has found a manual on the dark web that encourages criminals to use "nudifying" AI tools to depict children naked in order to extort victims into providing graphic content.

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Alleged: Unknown deepfake creators and Unknown AI developers developed an AI system deployed by Unknown Dark Web users and Unknown deepfake creators, which harmed Children.

Incident Stats

Incident ID
784
Report Count
1
Incident Date
2024-04-23
Editors
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
Paedophiles create nude AI images of children to extort from them, says charity
Paedophiles create nude AI images of children to extort from them, says charity

Paedophiles create nude AI images of children to extort from them, says charity

theguardian.com

Paedophiles create nude AI images of children to extort from them, says charity
theguardian.com · 2024

Paedophiles are being urged to use artificial intelligence to create nude images of children to extort more extreme material from them, according to a child abuse charity.

The Internet Watch Foundation (IWF) said a manual found on the dark …

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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