Description: Purported deepfake videos of Australian Prime Minister Anthony Albanese, featuring a synthetic voice with an American accent, were reportedly used in scam advertisements on YouTube in mid-2025. They reportedly claimed that Australians could earn thousands per month through an automated cryptocurrency trading platform called AUFIRST, framed as a government "tax dividend." Viewers were reportedly directed to a fraudulent site and urged to invest $400.
Entities
View all entitiesAlleged: Unknown voice synthesis technology developer and Unknown deepfake technology developers developed an AI system deployed by Unknown scammers and Unknown AUFIRST platform scam operators, which harmed Anthony Albanese , General public of Australia , Investors and Australian investors.
Alleged implicated AI systems: Unknown deepfake technology , Unknown voice synthesis technology , AUFIRST and YouTube
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
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A deepfake clone of Anthony Albanese has appeared on a new wave of AI-generated scam ads targeting Australians on YouTube, prompting demands for the tech giant and the government to do more to prevent them.
In the ads, Albanese speaks with …
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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