In a recent blog post, we discussed how the term “AI” can be used as a deceptive selling point for new products and services. Let’s call that the fake AI problem. Today’s topic whatsapp database the use of AI behind the screen to create or spread deception. Let’s call this the AI fake problem. The latter is a deeper, emerging threat that companies across the digital ecosystem need to address. Now.
![Image](https://zh-cn.runumberlist.com/wp-content/uploads/2023/10/ppp1-300x150.jpg)
Most of us spend lots of time looking at things on a device. Thanks to AI tools that create “synthetic media” or otherwise generate content, a growing percentage of what we’re looking at is not authentic, and it’s getting more difficult to tell the difference. And just as these AI tools are becoming more advanced, they’re also becoming easier to access and use. Some of these tools may have beneficial uses, but scammers can also use them to cause widespread harm.
Generative AI and synthetic media are colloquial terms used to refer to chatbots developed from large language models and to technology that simulates human activity, such as software that creates deepfake videos and voice clones. Evidence already exists that fraudsters can use these tools to generate realistic but fake content quickly and cheaply, disseminating it to large groups or targeting certain communities or specific individuals. They can use chatbots to generate spear-phishing emails, fake websites, fake posts, fake profiles, and fake consumer reviews, or to help create malware, ransomware, and prompt injection attacks. They can use deepfakes and voice clones to facilitate imposter scams, extortion, and financial fraud. And that’s very much a non-exhaustive list.