Juvenile Offender Rehabilitation through Artificial Intelligence: A Mixed Methodological Approach

Authors

  • K. Makesh Krishna, Dr. S. R. Sundaravalli, Dr. F. Vincent Rajasekar

Keywords:

Artificial Intelligence (AI), Juvenile Rehabilitation, Stakeholder, Program Facilitators

Abstract

This study explores the integration of Artificial Intelligence (AI) in juvenile offenderrehabilitation programs, focusing on stakeholder perspectives and program effectiveness. Theprimary objective is to assess the efficacy of AI-driven tools in juvenile rehabilitation,
understand stakeholder satisfaction, and identify ethical challenges associated with AIimplementation. Data were collected through structured surveys, semi-structured interviews

References

Albrecht, U. V., et al. (2020). Personalized Interventions in Juvenile Rehabilitation Programs: Opportunities and Challenges. Journal of Youth Studies, 23(4), 567–582. Alpaydin, E. (2020). Introduction to machine learning. MIT Press.

Eubanks, V. (2018). Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. St. Martin’s Press.

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Published

2024-07-03

How to Cite

K. Makesh Krishna, Dr. S. R. Sundaravalli, Dr. F. Vincent Rajasekar. (2024). Juvenile Offender Rehabilitation through Artificial Intelligence: A Mixed Methodological Approach . Journal of Computational Analysis and Applications (JoCAAA), 33(07), 2005–2017. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/2428

Issue

Vol. 33 No. 07 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.