Artificial intelligence in mental health: early assessment of suicide risk with ethical responsibility

Abstract

Suicide is one of the leading causes of preventable death globally, particularly affecting young people between the ages of 15 and 29. This public health problem has a devastating impact on individuals, families, and communities, and poses
a persistent clinical challenge for health systems. Despite decades of research in prevention, professionals continue to face considerable difficulties in identifying individuals at imminent risk early on. In this context, artificial intelligence (AI) has emerged as an innovative tool with the potential to transform suicide risk assessment and detection through the analysis of complex and multimodal data.