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Incident 687: Deepfake Porn Sites Use Breeze Liu's Image Without Consent

Description: Porn sites are alleged to have used AI-generated images of Breeze Liu without her consent, leading to severe emotional distress. Liu discovered a video of herself on Pornhub, which was then deepfaked and spread across over 800 links. Despite efforts to remove the content, many sites refused to comply, perpetuating the violation and exploitation of her image.

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Alleged: Unknown deepfake creators developed an AI system deployed by Pornhub and Various porn sites, which harmed Breeze Liu.

Incident Stats

Incident ID
687
Report Count
1
Incident Date
2024-04-08
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
Deepfake Porn Sites Use Victim's Image Without Consent
Deepfake Porn Sites Use Victim's Image Without Consent

Deepfake Porn Sites Use Victim's Image Without Consent

nytimes.com

Deepfake Porn Sites Use Victim's Image Without Consent
nytimes.com · 2024

This transcript was created using speech recognition software. While it has been reviewed by human transcribers, it may contain errors. Please review the episode audio before quoting from this transcript and email transcripts@nytimes.com wi…

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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