Description: An 80-year-old U.S. woman was reportedly deceived by scammers using purportedly AI-generated messages and deepfake media impersonating Elon Musk into believing she was in a romantic relationship with him. The perpetrators allegedly induced her to buy over $50,000 in Apple gift cards to be converted into cryptocurrency, leaving her financially endangered and at risk of foreclosure on her home.
Entities
View all entitiesAlleged: Deepfake technology developers and Synthetic audio generation technology developers developed an AI system deployed by Scammers impersonating Elon Musk and Scammers, which harmed Unnamed 80-year-old U.S. woman , Elderly investors , Cryptocurrency investors defrauded by AI-generated profiles , Epistemic integrity and Elon Musk.
Alleged implicated AI systems: 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
Loading...
As people age, sometimes, their judgment can get clouded. With the rise of financial scams targeting the elderly, this can be even more worrisome. If you have a parent in this kind of situation, it may be time to intervene.
A Reddit user re…
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.
Seen something similar?
Similar Incidents
Did our AI mess up? Flag the unrelated incidents
Loading...
Predictive Policing Biases of PredPol
· 17 reports
Loading...
Uber AV Killed Pedestrian in Arizona
· 25 reports
Loading...
Security Robot Rolls Over Child in Mall
· 27 reports
Similar Incidents
Did our AI mess up? Flag the unrelated incidents
Loading...
Predictive Policing Biases of PredPol
· 17 reports
Loading...
Uber AV Killed Pedestrian in Arizona
· 25 reports
Loading...
Security Robot Rolls Over Child in Mall
· 27 reports