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A.I. Is Making Death Threats Way More Realistic
Tiffany Hsu has written for years about benefits and abuses of generative artificial intelligence. Even though she was toughened by years spent working in internet activism, Caitlin Roper found herself traumatized by the online threats she received this year. There was the picture of herself
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AI is making death threats way more realistic
Even though she was toughened by years spent working in internet activism, Caitlin Roper found herself traumatized by the online threats she received this year. There was the picture of herself hanging from a noose, dead. And another of herself ablaze, screaming. The posts were part of a surge of
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AI is making death threats way more realistic
Caitlin Roper, an Australian activist, was traumatised by AI-generated death threats and violent images of herself shared online. The abuse targeted her and colleagues from Collective Shout, showing disturbingly realistic scenes of harm. Details like her real clothing made the threats feel
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Artificial intelligence is being weaponized to create hyper-realistic death threats and violent imagery, with activists and public figures facing increasingly personalized and convincing digital harassment that can be generated from a single photo.
Artificial intelligence has entered a disturbing new phase of misuse, transforming online death threats from crude text messages into hyper-realistic, personalized attacks that can traumatize victims in unprecedented ways. Australian activist Caitlin Roper experienced this firsthand when she became the target of AI-generated imagery showing herself hanging from a noose, burning alive, and subjected to other forms of graphic violence
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Source: Seattle Times
The attacks against Roper and her colleagues at Collective Shout included disturbingly accurate details that made the threats feel more real and personally violating. In some videos, she was depicted wearing a blue floral dress that she actually owns, based on a photograph published years earlier in an Australian newspaper
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.The ease with which these threatening images can now be created represents a fundamental shift in the landscape of digital harassment. Until recently, artificial intelligence could only replicate individuals with extensive online presence, such as celebrities with thousands of publicly available photographs. Today, a single profile image suffices to generate convincing deepfakes, according to Hany Farid, a computer science professor at UC Berkeley who co-founded GetReal Security .
Voice cloning technology has undergone similar advancement. What previously required hours of sample audio can now be accomplished with less than a minute of voice data. This dramatic reduction in technical barriers means that "almost anyone with no skills but with motive or lack of scruples can easily use these tools to do damage," warns Jane Bambauer, a University of Florida professor specializing in AI and law
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.The impact of AI-generated threats extends far beyond individual harassment cases. A deepfake video showing a student with a gun forced a high school into lockdown this spring, demonstrating how these technologies can trigger real-world emergency responses
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. In another incident, a Minneapolis lawyer reported that xAI's Grok chatbot provided detailed instructions to an anonymous user on breaking into his home, sexually assaulting him, and disposing of his body .The introduction of OpenAI's Sora text-to-video application has intensified concerns about AI-assisted threats. The platform allows users to upload personal images and incorporate them into hyper-realistic scenes, quickly enabling the creation of frightening scenarios featuring real people
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Despite growing awareness of these risks, experts argue that technology companies have failed to implement adequate safeguards. Alice Marwick, director of research at Data & Society, characterizes most current guardrails as "more like a lazy traffic cop than a firm barrier," noting that users can easily circumvent these protections
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.OpenAI maintains that it employs multiple defensive strategies, including content blocking guardrails, vulnerability testing, and automated moderation systems. However, testing by The New York Times revealed that both Sora and Grok could readily produce disturbing content, including videos of gunmen in bloody classrooms and graphic wounds added to photographs of real people .
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