Description: In 2023, Australians lost over $8 million to scams involving deepfake videos and fake news articles that falsely endorsed investment trading platforms. Scammers used AI-generated content featuring celebrities to mislead victims, leading to significant financial losses. The National Anti-Scam Centre received over 400 reports of these incidents. One man is reported to have lost over $80,000 in cryptocurrency.
Entities
View all entitiesAlleged: Unknown scammers and Unknown deepfake creators developed an AI system deployed by Unknown scammers, which harmed Australian general public.
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
The federal government has warned consumers to beware of fake news articles and deepfake videos that endorse online investment trading platform scams, saying they cost Australians more than $8m last year.
The National Anti-Scam Centre said …
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?