Artificial Intelligence in Treating Juveniles in Conflict with Law and Detection of Recidivism

  • Mary Jyothi Joseph
  • Show Author Details
  • Mary Jyothi Joseph

    Assistant Professor at Government Law College, Thrissur, Kerala, India

  • img Download Full Paper

Abstract

AI research now spans various scientific disciplines; scientists have evaluated the effectiveness of intelligent algorithms designed to forecast (or learn from) natural, physical, and social phenomena, including those related to crimes. Technology significantly aids law enforcement agencies in decision-making and operations by enhancing data-driven procedures, efficiency, and specific capabilities. Notwithstanding the ostensible benefits of integrating artificial intelligence (AI) into the juvenile justice system, additional investigation is imperative to ensure the comprehensive protection of human rights, including those pertaining to children. It is essential to recognize that we cannot return to the previous state of affairs, and AI can be utilized by psychiatrists to investigate mental disorders and assist the government in reducing recidivism. The incorporation of AI into juvenile justice systems appears promising, yet further research is necessary to ensure protection of human rights, particularly children's. Recognising that a return to previous methods is unfeasible, AI can be employed by mental health professionals to investigate psychological disorders and aid governmental efforts to reduce reoffending. However, caution must be exercised to prevent AI usage from compromising minors' essential rights. Should policymakers successfully navigate these challenges, they could improve a system that has historically lacked theoretical consideration despite increasing practical application.

Type

Article

Information

International Journal of Law Management and Humanities, Volume 8, Issue 1, Page 849 - 871

DOI: https://doij.org/10.10000/IJLMH.118956

Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution -NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.

Copyright

Copyright © IJLMH 2021