Role Of AI And Data Analytics In Juvenile Justice
- IJLLR Journal
- Sep 13
- 1 min read
Gokula Kannan, Lovely Professional University, School of Law
ABSTRACT
The integration of artificial intelligence (AI) and data analytics into juvenile justice systems is a critical development in contemporary legal discourse. Juvenile justice, unlike adult criminal justice, is founded on principles of care, reform, and rehabilitation rather than deterrence and punishment. AI technologies such as predictive policing, risk assessment, case management systems, and rehabilitative analytics offer promising avenues for strengthening these principles by enabling early intervention, personalised reintegration plans, and efficient decision-making. However, their application also presents profound ethical and legal dilemmas, including risks of algorithmic bias, over-surveillance, privacy violations, and erosion of the child-centric philosophy enshrined in the United Nations Convention on the Rights of the Child (CRC).
This paper explores the role of AI and data analytics in juvenile justice with a focus on India, while drawing comparisons with the United States, the United Kingdom, and the European Union. It critically evaluates opportunities, challenges, and safeguards necessary for responsible adoption. The analysis reveals that AI must not merely be a tool of efficiency but must serve to strengthen the constitutional and international obligation of ensuring the “best interests of the child.” Without such safeguards, there is a danger that technological adoption may replicate systemic inequities rather than resolve them. The paper concludes with policy recommendations for building a transparent, accountable, and child-centric AI framework suitable for juvenile justice.
Keywords: Juvenile Justice, Artificial Intelligence (AI), Data Analytics, Child Rights, Algorithmic Bias.
