AI-related Scam
Bad actors are using the popularity and complexity of artificial intelligence (AI) to lure victims into investment scams.
What is an AI-related Scam?
AI is a broad term that refers to technologies that enable computers to understand, act, and learn with human-like levels of intelligence.
Fraudsters use AI to perpetrate investment scams in a number of ways, including but not limited to:
- Imitating a legitimate person or thing, including “deepfake” audio, video, and websites.
- Unregistered investment platforms that claim they are using AI to generate guaranteed returns with little or no risk.
- Making false claims about their use of AI technology to create large profits.
How Does an AI-related Scam Work?
AI can quickly produce texts, emails, and messages in the style and language of a specific person. It can clone anyone’s voice, and in just minutes, AI can create fake images or videos of real people.
Fraudsters can use AI to:
- Impersonate a company or individual to promote fake products or services.
- Generate a real-looking but fake investment opportunity.
- Publish fake reviews that look like they came from real people.
- Use voice cloning for deceptive telemarketing.
Watch out for one or more of these characteristics of AI-related scams:
- A public figure promoting an investment opportunity, or any other promotion they would not normally do.
- Unusual body or lip movement in videos.
- Strange phrasing or inconsistencies in the content.
- You cannot meet with a human in person.
- Unexpected phone calls or messages, especially if the sender conveys a sense of urgency, fear, or panic.
- Websites that mimic real companies. You can identify a fake website by:
- Checking the domain name, which may closely resemble the genuine site.
- Paying attention to contact information and privacy policies. Legitimate businesses should provide you with a physical address and working phone number in the contact section.
- Searching for regulator warnings and negative reviews. Scammers will often publish a large number of fake positive reviews.