Artificial Intelligence for Mitigation of Conflict in Young Offenders with Reference to Recidivism

Dr. Bommuluri Bhavana Rao, Mary Jyothi Joseph

Abstract: Recent innovations include a variety of AI - powered tools, such as virtual therapists, social robots for dementia and autism care, and robots addressing sexual disorders. These AI - driven virtual and robotic entities are increasingly assuming complex therapeutic roles that were previously the exclusive domain of highly trained healthcare professionals. Comprehension of large amounts of continually collected data can be hectic and could require continual diagnostics using acquired knowledge of theories of offending. AI can help in using minimal time to diagnose vast data from multiple sources without interference of human bias and more effectively. The recommendations by probation officers are considered crucial for determining the treatment to be meted; there is a strong argument to at least consider the use of Artificial Intelligence Risk Assessment and Predictive tools; to ensure that their individualised recommendations are as accurate as possible. It is seen that higher risk individuals require intensive and targeted intervention to disrupt the negative cycle of offending. Even though traditional methods and techniques are not to be replaced; it is suggested that AI tools could be considered in complementary to assist probation officers and others to reach tailored treatment plans within the mandatory time frame. The integration of AI for treating recidivism demonstrates potential; though additional research is inevitable to safeguard rights of children. If policymakers can navigate these challenges, an improved system can be considered for the future.

Keywords: Artificial Intelligence, Recidivism, Risk Predictive Tools, Young Offenders, Juvenile Justice System

How to Cite?: Dr. Bommuluri Bhavana Rao, Mary Jyothi Joseph, "Artificial Intelligence for Mitigation of Conflict in Young Offenders with Reference to Recidivism", Volume 14 Issue 6, June 2025, International Journal of Science and Research (IJSR), Pages: 463-465, https://www.ijsr.net/getabstract.php?paperid=SR25605091106, DOI: https://dx.doi.org/10.21275/SR25605091106