In 2023, Australian consumers lost over $8 million to investment scams that utilized AI-generated deepfake videos and fake news articles to impersonate celebrities. The National Anti-Scam Centre received over 400 reports of these incidents, which involved fraudulent trading platforms such as Quantum AI and Immediate Edge. Victims were lured into providing personal details or investing cryptocurrency, often resulting in total financial loss or persistent harassment.
In 2023, Australians reportedly lost over $8 million to scams involving purported deepfake videos and fake news articles that falsely endorsed investment trading platforms. Scammers reportedly 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.
Risk classification
- Primary risk domain: 4 Malicious actors
- Primary risk subdomain: 4.3 Fraud, scams, and targeted manipulation
The incident involves scammers using AI-generated deepfakes and fake news articles to impersonate trusted public figures for illegitimate financial benefit.
Causal factors
- Entity: Human
- Intent: Intentional
- Timing: Post-deployment
The harm was caused by human scammers intentionally deploying AI-generated deepfakes and fake articles to defraud victims.
EU AI Act risk tier
- Risk tier: 3 Limited Risk
Limited Risk: The incident involves 'AI-generated content such as deepfakes', which falls under Risk Level 3 due to transparency obligations requiring users to be informed they are interacting with AI-generated media.
AI system and alleged parties
- AI system: Quantum AI, unspecified
- AI purpose: Deepfake Video Generation; Social Media Content Generation
- Behaviour type: Tool
- Alleged developer: Unknown voice cloning technology developers, Unknown generative AI developers, Unknown deepfake technology developers
- Alleged deployer: Unknown scammers
- Alleged harmed parties: General public of Australia, General public, Epistemic integrity
Harm severity
Severity ratings are based on this scale.
Highest direct severity in any category: Minor. Severity is scored from Negligible to Catastrophic in each harm category, for harm the reports describe as caused directly or indirectly by the AI system.
- Physical: direct Negligible, indirect Negligible
- Infrastructure: direct Negligible, indirect Negligible
- Property: direct Negligible, indirect Negligible
- Financial: direct Negligible, indirect Substantial
- Environmental: direct Negligible, indirect Negligible
- Malicious content: direct Minor, indirect Negligible
- Differential treatment: direct Negligible, indirect Negligible
- Civil rights: direct Negligible, indirect Negligible
- Democracy: direct Negligible, indirect Negligible
- Privacy: direct Negligible, indirect Minor
- Psychological: direct Negligible, indirect Minor
- Epistemic: direct Minor, indirect Negligible
- Child sexual exploitation and abuse: direct Negligible, indirect Negligible
Financial
Reported: The report describes over 400 incidents causing a total financial loss of over $8,000,000 in 2023, with an average loss of approximately $20,000 per reported occurrence.
Indirectly caused: An Australian man lost $80,000 in cryptocurrency, and overall Australian consumers lost over $8,000,000 to these scams, averaging $20,000 per reported occurrence.
Inferred additional harm: Since many scams go unreported, the actual financial losses are likely significantly higher than the reported $8,000,000.
Malicious content
Reported: The report explicitly describes malicious content in the form of deepfake videos and fake news articles used to deceive consumers.
Directly caused: AI-generated deepfake videos (such as a fake interview of Elon Musk) and fake news articles featuring celebrities were directly created and spread on social media and reputable news sites.
Inferred additional harm: It is likely that thousands of social media users were exposed to these malicious deepfake videos and fake articles across various online platforms.
Privacy
Reported: The report explicitly describes privacy violations where victims' contact details were obtained and exploited.
Indirectly caused: PERSON_003's phone number and name were obtained by scammers through a fake online form, leading to persistent harassment with over 60 unsolicited phone calls.
Inferred additional harm: Many of the 400+ reporting victims likely had their personal and financial data harvested and misused by the fraudulent platforms.
Psychological
Reported: The report explicitly describes psychological distress and harassment experienced by victims of the scam.
Indirectly caused: PERSON_003 experienced significant distress and anxiety after being trolled and called over 60 times by scammers after interacting with the fake article.
Inferred additional harm: It is highly likely that many of the 400+ victims experienced severe anxiety, distress, and embarrassment due to substantial financial losses and aggressive harassment.
Epistemic
Reported: The report explicitly describes epistemic harm through the spread of fake news articles and deepfake videos that mislead the public.
Directly caused: The creation of fake news articles (e.g., fabricating a gossip story about PERSON_004 and Matt Shirvington) and deepfake videos directly corrupted the information environment.
Inferred additional harm: The widespread dissemination of these high-quality deepfakes erodes public trust in digital media and news sources.
People affected
- Occurrences reported: 400
- People reportedly harmed: 400
- People reportedly exposed: 400
Potential causes
Management
- Prioritising Ad Revenue: Platforms prioritized ad revenue over rigorous safety checks for ads.
Technology
- Deepfake Video Generation: AI-generated video of Elon Musk used to deceive victims into investing.
- Fake Article Generation: Algorithmic generation of fake news articles featuring celebrities.
Data Inputs
- Unauthorised Celebrity Likeness: Scammers used public images and videos of celebrities without consent.
Human Factors
- Trust in Celebrity Endorsements: Victims believed fake endorsements from trusted public figures.
- High-Pressure Sales Tactics: Scammers pressured victims to invest immediately once contact was made.
Process and Methods
- Flawed Social Media Ad Vetting: Social media platforms allowed deepfake scam ads to be published.
- Inadequate Reporting Response: Slow response to user reports allowed fake ads to remain active.
Regulatory Environment
- Weak Deepfake Regulations: Lack of strict rules governing AI-generated deepfakes and scams.
Information quality
- Classification confidence: High
- Reason for confidence: The report provides clear details on the nature of the scams, the role of AI-generated deepfakes and fake articles, the financial losses, and specific victim accounts. The role of the AI as a tool for fraud is unambiguous.
Australian consumers lost over $8 million in 2023 to investment scams leveraging AI-generated deepfakes of public figures. While the incident represents a minor national security threat, it highlights the growing capability of malicious actors to exploit synthetic media for widespread financial fraud and social manipulation.
- Overall national security impact: Minor
- Scope: Single nation
- Primary target: Australia
- Alleged perpetrator: Unknown
Threat characteristics
- Imminence: Long-term. Represents an ongoing cybercrime threat and strategic concern regarding synthetic media, rather than an immediate national security crisis.
- Autonomy: Human-controlled. AI tools were used strictly as instruments by human scammers to generate fraudulent videos and articles, with no autonomous decision-making.
- Novelty: Evolved capability. Represents a significant advancement of established impersonation and phishing scams through the integration of highly realistic deepfake technology.
Impact by dimension
- Physical security: Negligible. The incident involved online financial fraud and did not impact physical systems, critical infrastructure, or human safety.
- Information security: Minor. Utilized AI-generated deepfakes of prominent figures. While serving a financial motive rather than state-sponsored information warfare, it demonstrates the growing ease of generating deceptive synthetic media.
- Sovereignty: Negligible. No impact on state authority, government decision-making, electoral processes, or core government operations.
- Economic security: Minor. Resulted in over $8 million in losses for Australian consumers. While significant for the individuals affected, it does not threaten national economic stability or strategic industries.
- Societal stability: Minor. Involves public deception, privacy violations, and targeted harassment of victims, contributing to a broader erosion of trust in digital communications.