The increasing incidence of mental illness, particularly among youth, has raised important gaps in early intervention and access to assistance. With so many people seeking online mediums to convey emotional turmoil, there is the possibility of understanding how Artificial Intelligence (AI) might be used proactively to identify and address mental health emergencies. This paper examines the potential of AI systems in identifying indicators of self-harm, suicidal thoughts, and psychological distress via natural language chats. Through speech patterns, sentiment, and behavioral indicators analysis, AI-powered tools can be used as precursors that can escalate issues to the potential experts or emergency services. While the promise of such technology is great, the application gives rise to difficult questions regarding consent, data privacy, false alarms, and ethical accountability. By examining current technologies, theoretical models, and intended intervention designs, this paper seeks to establish a foundation for creating responsible, effective, and empathetic AI systems that not only recognize human emotion but act when intervention is most urgently needed.
