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  • How AI became a tool for cybercrime and terrorism

    Hackers are already using ChatGPT to commit crimes, including fraud, cybercrime and terrorism, according to Europol.

    Even though ChatGPT refuses to fulfill potentially harmful user requests, there are ways to bypass the OpenAI content filtering system. Some users have caused ChatGPT to issue instructions on how to make a homemade bomb or drugs. All in all, ChatGPT can tell you how to commit crimes and provide step-by-step guidance.

    If a potential offender knows nothing about a particular criminal area, Europol says, ChatGPT can significantly speed up the investigation process by offering key information that can then be further explored in subsequent steps. Thus, ChatGPT can be used to obtain information on a vast number of crimes without any prior knowledge, ranging from how to break into a house to terrorism, cybercrime and child sexual abuse.

    The agency acknowledged that all of this information is already publicly available online, but the model makes it easier to find information on how to commit specific crimes. Europol also stressed that ChatGPT can be used to impersonate a victim, facilitate scams and phishing, and produce propaganda and disinformation in support of terrorism.

    In addition, ChatGPT's ability to generate malicious code increases cybercrime, as it no longer requires great technical skills to create malware.

    “For a would-be criminal with little technical knowledge, this is an invaluable resource. At the same time, a more advanced user can use the power of AI to improve or automate cybercriminal activities,” the report says.

    Europol said that as more companies adopt AI, the technology will open up new ways to use neural networks for illegal activities. Multimodal AI systems that combine chatbots with generative AI can create compelling deepfakes that can then be used for disinformation campaigns and other scams.

    The agency noted that "secret" versions of language models without content filters, which are trained on malicious data, can be hosted on the dark web.

    “There is uncertainty about how large language models (LLMs) will handle user data in the future – will conversations be stored and potentially disclose sensitive personal information to unauthorized third parties? And if users create malicious content, should law enforcement be reported?” Europol said.
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