Use of AI-driven support system to help courts in predicting child custody outcomes in India

Abstract

Predicting child protection outcomes using AI-driven support systems under Indian law raises interesting possibilities and challenges. This study examines the feasibility of using AI in Indian courts to assist in child custody decision-making. The Indian legal system is complex and topical in child custody cases, where sociocultural and family factors heavily influence judicial decisions. The potential integration of AI provides an opportunity for objectivity and continuity in accuracy to enter the system. However, there are several challenges to implementing such a system in India. These areas include addressing ethical concerns related to algorithmic decision-making about sensitive family matters using the right, this research topic raises questions about the feasibility of introducing AI into the Indian childcare decision-making process. This suggests the need to carefully consider these challenges and their potential benefits when assessing the utility and appropriateness of using AI-driven support systems in Indian courts to set childcare outcomes to help judges in faster fact-finding and to make decisions on the same. In addition, we analyzed the use of AI in other countries.