AI-Driven Social Systems on Young Adults’ Mental Health, Quality of Life, and Social Identity

Abstract

This study explores how young adults’ mental health, quality of life, and social identity are impacted by social systems powered by artificial intelligence (AI). The use of AI technologies such as chatbots, virtual therapists, and machine learning algorithms presents exciting opportunities for early detection, individualised therapies, and ongoing emotional support, given the increasing frequency of mental health issues in this population. Based on theoretical frameworks including the Positive Psychology Framework, Analytical Psychology, Social Identity Theory, and Self-Determination Theory, the study uses a correlational research methodology with 300 participants between the ages of 18 and 26. Standardised measures such as the Digital Wellbeing Scale, WHOQOL-BREF, and an identification questionnaire were used to gather data. The findings revealed that quality of life was significantly predicted by both self-identity and digital wellbeing, with digital wellbeing having a greater impact. The findings highlight the dual significance of psychological (self-concept) and behavioural (technology use) elements in improving well-being. By emphasising AI’s ability to enhance emotional resilience, lessen stigma, and promote identity development, this study adds to the body of research on mental health interventions. Additionally, it highlights the necessity of moral, user-focused AI solutions that give equal weight to emotional intelligence and accessibility.