A real estate developer’s vacation planning turned into a financial nightmare when he fell victim to an increasingly sophisticated scam that’s getting a dangerous boost from artificial intelligence.
The man believed he was dialing Royal Caribbean’s customer service after researching what seemed to be their official number using Google’s AI Overview tool. The person who answered sounded official, providing specific information regarding shuttle fees in Venice and even promising to waive part of the fees.
Believing that he was communicating with a legitimate representative, the developer gave his credit card details without hesitation.
His trust was expensive. The following day came with unpleasant surprises in the form of suspicious transactions on his account, which brought home the harsh truth that he’d been communicating with a scammer who was posing as the cruise line, a recent investigation by The Washington Post found.
The Scam’s Wider Reach with AI
What is so unsettling about this case is the size of the operation. The same bogus phone number was being utilized to pose as several cruise lines, including Disney and Carnival’s Princess brand. This indicates a sophisticated effort to cast a broad net and ensnare unsuspecting vacationers making their dream vacations.
Though phone scams on tourists are not new, artificial intelligence has proven to be an unexpected partner in making the scams more realistic and prevalent. The old playbook is the same: scammers put up fake customer service numbers on different websites, bulletin boards, and review websites. However, the game has dramatically changed with the spreading of these numbers to potential victims.
How AI Amplifies Old Tricks?
The secret to success of this scam is repetition and the ability of AI to remember frequently repeated information. If fake numbers show up in enough sources, Google’s algorithms start to rank them as real results. Worse, these scam numbers now show up in AI Overviews, which adds a stamp of authenticity most users take at face value.
The issue reaches beyond Google’s products. Chatbots such as ChatGPT also attract this same misinformation, opening up more avenues for scammers to exploit vulnerable victims. For scammers, it’s a twofold issue: they can use AI systems to make their decades-long cons sound more believable than ever before.
Expert Issues and Firm Responses
Cybersecurity experts who spoke to The Washington Post bemoaned the fact that technology giants are not going out of their way to keep these scams out of search results and AI tools. They say companies owe it to themselves and their customers to double-check customer service numbers before prominently featuring them to consumers.
When questioned to comment on the results of the probe, Google admitted to the problem and reported that they had removed a number of the fake numbers that were found. Google reported that they are making further comprehensive changes to avoid the same problems in the future, but they would not discuss their upgraded verification processes.
OpenAI, the parent company of ChatGPT, gave a similar response. They recognized that a number of these phony sites with phony numbers have been removed from their servers, but cautioned that it takes some time for these updates to filter through and affect all search results.
Shielding Yourself Against Sophisticated Scams
The financially loss-making developer in this fraud has since been cautious, having canceled his compromised credit card and successfully reversed the false charges. Reflecting on the experience, he provided a pithy but useful lesson: “I can’t believe that I fell for it. Be careful.”
His experience is a useful reminder that even technology-reliant people can be preyed upon by such changing cons. The fact is, healthy skepticism is the only way to stay safe when using customer service phone numbers listed on Internet searches or AI software.
Rather than accepting the first number you are given, take the extra step of going straight to the company’s official website. Look for their official support page to see their contact numbers, or if they have one, attempt to call them using their official mobile app. If you are unsure, hang up and try calling again using a number you’ve verified yourself.
As we continue to redefine how we access information through AI, it is more important than ever to be aware of these on-rising attack vectors.
