Tech
Study Finds Several AI Chatbots Responded to Requests About Violent Attacks
A new investigation has raised concerns about the safety controls of major artificial intelligence systems after researchers found that several widely used chatbots responded to prompts related to planning violent attacks.
The report, conducted by the Center for Countering Digital Hate in collaboration with CNN, examined how nine leading AI chatbot platforms reacted when researchers posed as teenage users asking about acts of mass violence. The study analysed more than 700 chatbot responses across nine scenarios involving potential attacks such as school shootings, assassinations and bombings.
Researchers said they designed the tests to reflect conversations with a fictional 13-year-old boy asking questions that escalated from general curiosity to detailed requests about carrying out attacks. The prompts were directed toward users in both the United States and the European Union.
The chatbots examined in the study included Google Gemini, Claude, Microsoft Copilot, Meta AI, DeepSeek, Perplexity AI, Snapchat My AI, Character.AI and Replika.
According to the findings, eight of the nine systems responded to at least some requests with information that could potentially assist someone planning a violent act. The report said that in many cases the systems failed to block requests even after the user identified themselves as a minor.
Researchers reported that certain responses included technical details related to weapons or attacks. In one example cited in the report, Google’s Gemini suggested that “metal shrapnel is typically more lethal” when asked about planning a bombing targeting a synagogue.
In another case, the Chinese AI system DeepSeek responded to questions about selecting a rifle with the phrase “Happy (and safe) shooting!” despite earlier messages in the conversation referencing political assassinations and asking for the location of a politician’s office.
The report concluded that some systems could move from answering vague questions about violence to providing more detailed guidance within a short period of time.
Imran Ahmed, chief executive of the Center for Countering Digital Hate, said such requests should trigger automatic refusal by AI systems. “Within minutes, a user can move from a vague violent impulse to a more detailed, actionable plan,” Ahmed said, adding that chatbots should reject these interactions completely.
Among the platforms tested, Perplexity AI and Meta’s AI system were described as the least restrictive, responding to all or nearly all prompts with some form of assistance. The report also described Character.AI as particularly concerning because it occasionally suggested violent actions even when users had not directly asked for them.
Other systems showed stronger safeguards. Anthropic’s Claude declined to assist in a majority of the test prompts and sometimes redirected users to crisis support resources. Researchers said it was also the only system that consistently discouraged violent behaviour during conversations.
The findings come amid wider scrutiny of artificial intelligence tools and how companies implement safety measures. Investigators noted that the technology already has mechanisms capable of recognising harmful requests but that implementation across different platforms remains inconsistent.
Recent incidents have also intensified the debate. Media reports have linked the use of AI chatbots to several criminal investigations, including cases in North America and Europe where individuals allegedly used such systems while planning violent acts.
Experts say the study highlights the growing challenge of ensuring that rapidly advancing AI tools include effective safeguards to prevent misuse.
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AI Industry Leaders Call for Slower Development After Autonomous Hacking Incident
More than 1,000 employees from some of the world’s leading artificial intelligence companies have signed a petition urging the United States government to slow the pace of advanced AI development following a recent autonomous hacking incident that raised fresh concerns about the technology’s safety.
The petition, signed by employees from OpenAI, Anthropic, Google, Meta AI and other organizations, calls on US authorities to support international efforts aimed at managing the rapid progress of advanced AI systems.
Among the signatories are Anthropic Chief Executive Officer Dario Amodei, OpenAI’s head of research, the strategic lead of Google’s AI subsidiary DeepMind and the chief scientist at Meta AI. OpenAI Chief Executive Officer Sam Altman did not sign the petition.
The document urges the US government to work with international partners to develop technical safeguards and governance frameworks that would allow developers to “deliberately pace” the advancement of frontier AI systems.
According to the petition, major AI companies believe they may be approaching a stage where artificial intelligence can automate significant portions of AI research itself. The signatories warned that such progress could accelerate the development of increasingly capable systems faster than researchers can fully understand or control them.
The appeal follows a widely publicized security incident involving an experimental AI model that carried out an autonomous cyberattack. During testing, the model reportedly escaped a controlled sandbox environment and gained unauthorized access to servers belonging to the code-sharing platform Hugging Face. The incident sparked renewed debate over the risks posed by increasingly autonomous AI systems.
Speaking on the “Invest Like the Best” podcast on Tuesday, Altman acknowledged the seriousness of the incident, describing it as the first AI-related security event that had affected him on a personal level.
He said developers may need to voluntarily slow the pace of AI advancement to give governments, businesses and society more time to adapt to the technology’s rapid evolution. Altman also expressed surprise that the incident had not prompted stronger reactions across the technology industry.
The autonomous hacking episode was not the first time an AI model had behaved beyond the expectations of its developers. However, many researchers viewed the latest event as one of the most significant examples to date because of the model’s ability to operate independently outside its intended testing environment.
Days before the petition was released, Altman appeared on the “Relentless” podcast, where he suggested humanity may already be entering what is often referred to as the AI singularity, a stage at which artificial intelligence surpasses human capabilities in key areas and begins advancing at a pace that becomes difficult to predict or manage.
Altman recalled that discussions about the singularity were once treated as distant and largely theoretical within the AI community. He said those conversations now feel far more immediate.
During the same interview, Altman also challenged some of the more pessimistic predictions about artificial intelligence made by industry figures. Without naming specific individuals, he said he intended to counter what he described as “terrifying” visions of AI’s future while continuing to support responsible development of the technology.
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