Description: Deepfake videos allegedly impersonated Toronto immigration lawyer Max Chaudhary, targeting Canadian immigrants via WhatsApp. The videos, appearing personal and realistic, requested thousands of dollars for legal services never rendered. Exploiting confusion caused by changing immigration rules, the scam reportedly aimed to defraud vulnerable individuals during a time of desperation and uncertainty.
Entities
View all entitiesAlleged: Unknown deepfake technology developers developed an AI system deployed by scammers and Fraudsters, which harmed Immigrants in Toronto , Immigrants in Canada and Max Chaudhary.
Alleged implicated AI system: Unknown deepfake tool
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
Artificially generated videos of a Toronto-based lawyer asking for money appear to be just one way some try to exploit newcomers to Canada during a time of confusion around new immigration rules.
Two videos sent to immigration lawyer Max Ch…
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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