Why AI Chatbots Have Trouble Detecting Rare Mental Health Conditions Such As Intermittent Explosive Disorder

Article excerpt

AI chatbots increasingly serve as first-line mental health advisors, but they struggle to identify rare disorders like Intermittent Explosive Disorder because training data skews toward common conditions. The systems excel at recognizing depression and anxiety, conditions well-represented in their datasets, but lack sufficient examples of uncommon diagnoses to spot them reliably. This gap poses real risks: someone experiencing explosive rage episodes might receive generic coping strategies instead of proper clinical assessment. The problem reflects a fundamental trade-off in machine learning: models optimize for the patterns they see most often, leaving statistical outliers invisible.