Earlier this year, an employee at a multinational corporation sent fraudsters $25 million. The instructions to transfer the money came—the employee thought—straight from the company's CFO. In reality, the criminals had used an AI program to generate realistic videos of the CFO and several other colleagues in an elaborate scheme.
Videos created by AI have become so realistic that humans (and existing detection systems) struggle to distinguish between real and fake videos. To address this problem, Columbia Engineering researchers, led by Computer Science Professor Junfeng Yang, have developed a new tool to detect AI-generated video called DIVID, short for DIffusion-generated VIdeo Detector. DIVID expands on work the team released earlier this year–Raidar, which detects AI-generated text by analyzing the text itself, without needing to access the inner workings of large language models.
A paper on the new tool appears on the arXiv preprint server.
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