Description: A Guelph, Ontario, woman reportedly lost $14,000 after clicking a social-media ad for a cryptocurrency investment purportedly promoted by MrBeast. Police said her losses accumulated through an initial $250 payment and later transfers made after she spoke with supposed representatives and someone she believed was the YouTube creator, including $5,000 sent to a crypto wallet.
Entities
View all entitiesAlleged: Deepfake technology developers and Synthetic audio generation technology developers developed an AI system deployed by Scammers and Scammers impersonating MrBeast, which harmed Unnamed Guelph, Ontario woman , General public , Fans of MrBeast , Epistemic integrity , YouTube users and Social media users.
Alleged implicated AI systems: Unknown generative AI tools , Social media advertising systems , Cryptocurrency wallet infrastructure , Deepfake technology and Synthetic audio generation 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
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
Intentional
Incident Reports
Reports Timeline
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Police in Guelph, Ont., are reminding people to be wary of celebrity endorsements of financial investments after a woman in the city lost thousands.
Police say a woman clicked on a social media ad that appeared to be popular YouTube content…
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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