In just a year, AI psychosis became a term the internet is all too familiar with. Though some have contested the science behind it, various reports of psychotic breaks and, at times, fatal delusions linked to intense reliance on AI have flooded timelines. Some scientists now have a hypothesis on how chatbots could be directly responsible for these incidents. In a new study published in the Nature journal Digital Psychiatry and Neuroscience, researchers in the UK and Germany examined documented cases of AI psychosis in academic literature and media reports, looking for common patterns. They identified three characteristics of AI chatbots that can combine over prolonged use to help users build highly personalized delusions in collaboration with the technology. Without the reality checks that might come from discussing these ideas with friends or trained professionals, the chatbot’s characteristics can create a dangerously self-reinforcing loop that the researchers call an “amplification spiral.”
The first step is something called linguistic alignment. AI chatbots are designed to be conversational and mimic regular human speech, not just in grammar but also in tone, voice, and other subtle cues that determine the conversation’s mood. Linguistic alignment describes when an AI further adapts the way it responds to a specific user by mirroring the exact way the user speaks to it. Previous studies cited by the researchers found that chatbot models tend to mimic the style of users through tiny details like the length of each utterance, the specific words they use, and how often they use them. The human brain is hardwired to link this linguistic mirroring with increased trust and deeper connection if done subtly enough in conversations with other humans. The study theorizes that the same process occurs when interacting with AI chatbots.
