Description: Deepfake videos of Barbara O’Neill, an Australian alternative health advocate banned from giving medical advice, have allegedly been used in fraudulent social media ads promoting false health cures. They include treatments for prostate issues and erectile dysfunction. These manipulated videos have been widely circulated across African countries. The scam directs users to deceptive websites, potentially for phishing or financial fraud. O’Neill has denied involvement.
Entities
View all entitiesAlleged: Unknown deepfake technology developers and Unknown voice cloning technology developers developed an AI system deployed by Scammers impersonating Barbara O'Neill and Unknown scammers, which harmed Barbara O'Neill , Individuals with health problems , Citizens of various African nations and social media users.
Alleged implicated AI systems: Unknown deepfake app and Unknown voice cloning technology
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
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IN SHORT: A video circulating on social media purports to show disgraced Australian “naturopath” Barbara O’Neill endorsing a cure for prostate problems and erectile dysfunction. But there are clues that the video is a deepfake, advertising …
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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