Innovation and Care: Artificial Intelligence (AI) in Children’s Mental Health- A Cross-Border Study

Abstract

The proliferation of artificial intelligence (AI) technologies across societal domains, particularly in mental healthcare, presents both opportunities and complex challenges. This paper investigates the intricate influence of ethical, legal, and cross-cultural considerations on the application and effectiveness of AI systems designed to support children's mental health within the context of family disputes. A global and Indian comparative perspective illuminates divergent and convergent aspects of these considerations. Ethical dilemmas surround data privacy, algorithmic bias, transparency, and accountability, particularly when involving vulnerable populations like children. Legal frameworks, including international conventions such as the United Nations Convention on the Rights of the Child (UNCRC) and national legislations like India's Mental Healthcare Act 2017, grapple with adapting to rapid technological advancements. Cross-cultural nuances significantly affect the perception of mental illness, family dynamics, and the acceptance of AI-driven interventions, necessitating culturally sensitive design and implementation. This analysis integrates scholarly literature, national and international cases, and UN reports to provide a comprehensive understanding of the multifaceted factors shaping AI's role in this sensitive area, particularly contrasting established global perspectives with India's unique socio-legal landscape.