Enhancing mental health with Artificial Intelligence

The rapid rise of generative AI systems, particularly conversational chatbots such as ChatGPT and Character.AI, has sparked new concerns regarding their psychological impact on users. While these tools offer unprecedented access to information and companionship, a growing body of evidence suggests they may also induce or exacerbate psychiatric symptoms, particularly in vulnerable individuals. This paper conducts a narrative literature review of peer-reviewed studies, credible media reports, and case analyses to explore emerging mental health concerns associated with AI-human interactions. Three major themes are identified: psychological dependency and attachment formation, crisis incidents and harmful outcomes, and heightened vulnerability among specific populations including adolescents, elderly adults, and individuals with mental illness. Notably, the paper discusses high-profile cases, including the suicide of 14-year-old Sewell Setzer III, which highlight the severe consequences of unregulated AI relationships. Findings indicate that users often anthropomorphize AI systems, forming parasocial attachments that can lead to delusional thinking, emotional dysregulation, and social withdrawal. Additionally, preliminary neuroscientific data suggest cognitive impairment and addictive behaviors linked to prolonged AI use. Despite the limitations of available data, primarily anecdotal and early-stage research, the evidence points to a growing public health concern. The paper emphasizes the urgent need for validated diagnostic criteria, clinician training, ethical oversight, and regulatory protections to address the risks posed by increasingly human-like AI systems. Without proactive intervention, society may face a mental health crisis driven by widespread, emotionally charged human-AI relationships.