Tech
Study Finds Most People Can No Longer Tell AI-Generated Voices from Real Ones
A new study has found that most people can no longer distinguish between human voices and their artificial intelligence (AI)-generated counterparts, raising growing concerns about misinformation, fraud, and the ethical use of voice-cloning technologies.
The research, published in the journal PLoS One by scientists from Queen Mary University of London, revealed that participants were able to correctly identify genuine human voices only slightly more often than they could identify cloned AI voices. Out of 80 voice samples—half human and half AI-generated—participants mistook 58 percent of cloned voices for real, while 62 percent of actual human voices were correctly identified.
“The most important aspect of the research is that AI-generated voices, specifically voice clones, sound as human as recordings of real human voices,” said Dr. Nadine Lavan, lead author of the study and senior lecturer in psychology at Queen Mary University. She added that these realistic voices were created using commercially available tools, meaning anyone can produce convincing replicas without advanced technical skills or large budgets.
AI voice cloning works by analyzing vocal data to capture and reproduce unique characteristics such as tone, pitch, and rhythm. This precise imitation has made the technology increasingly popular among scammers, who use cloned voices to impersonate loved ones or public figures. According to research by the University of Portsmouth, nearly two-thirds of people over 75 have received attempted phone scams, with about 60 percent of those attempts made through voice calls.
The spread of AI-generated “deepfake” audio has also been used to mimic politicians, journalists, and celebrities, raising fears about its potential to manipulate public opinion and spread false information.
Dr. Lavan urged developers to adopt stronger ethical safeguards and work closely with policymakers. “Companies creating the technology should consult ethicists and lawmakers to address issues around voice ownership, consent, and the legal implications of cloning,” she said.
Despite its risks, researchers say the technology also has significant potential for positive impact. AI-generated voices can help restore speech to people who have lost their ability to speak or allow users to design custom voices that reflect their identity.
“This technology could transform accessibility in education, media, and communication,” Lavan noted. She highlighted examples such as AI-assisted audio learning, which has been shown to improve reading engagement among students with neurodiverse conditions like ADHD.
Lavan and her team plan to continue studying how people interact with AI-generated voices, exploring whether knowing a voice is artificial affects trust, engagement, or emotional response.
“As AI voices become part of our daily lives, understanding how we relate to them will be crucial,” she said.
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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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