Description: Multiple residents in Simcoe County, Ontario, have reportedly lost tens of thousands of dollars each after encountering purportedly AI-generated deepfake videos online that depict trusted public figures endorsing crypto investments. According to MP Adam Chambers and local reports, these manipulated ads misled victims into transferring funds through legitimate exchanges to fraudulent wallets.
Entities
View all entitiesAlleged: Unknown deepfake technology developers and Unknown voice cloning technology developers developed an AI system deployed by Unknown scammers and Unknown scammers targeting Simcoe County, which harmed General public of Simcoe County , General public of Ontario , General public of Canada , Canadian cryptocurrency investors and Elderly investors.
Alleged implicated AI systems: Unknown deepfake technology , Unknown voice cloning technology , Social media platforms and Cryptocurrency exchanges
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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A wave of high-tech fraud is sweeping through Simcoe County --- and it's costing victims tens of thousands of dollars each.
That's the warning from Simcoe North MP Adam Chambers, who says his office has been contacted by multiple residents …
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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