Artificial Intelligence in Mental Health: Assessing Risks and Benefits

Abstract

The integration of artificial intelligence (AI) into mental health care offers significant opportunities for early diagnosis, personalized treatment, and continuous monitoring. This paper reviews current AI applications in detecting mental health conditions, analyzing patient data, and providing therapeutic interventions. We examine the potential benefits, such as increased access to care and improved patient outcomes, alongside the risks, including data privacy issues and the potential for algorithmic bias. By critically assessing these factors, the paper provides a balanced perspective on the future of AI in mental health care.