Leveraging Artificial Intelligence for Enhanced Adolescent Rehabilitation in Nigeria: A Sociological Framework

Abstract

Abstract The Nigerian adolescent rehabilitative landscape is characterized by systemic deficiencies. Its preoccupation with punitive measures and critical understaffing impedes the successful reintegration of young offenders. This study reviews how adolescent criminology and computational interventions intersect. Specifically, it examines the use of Artificial Intelligence (AI) in optimizing rehabilitative outcomes. Utilizing a doctrinal methodology, the research involves an analysis of existing legal frameworks, international best practices, and secondary literature to evaluate the viability of AI-driven automated supervision, diagnostic risk assessment, and remote education facilitation. The findings suggest that integrating AI can transform vocational training and behavioral correction. However, the study indicates a critical need for robust ethical governance to protect vulnerable groups from algorithmic bias. Consequently, the paper advocates for the formulation of rigorous regulatory frameworks designed to enhance institutional efficiency and mitigate recidivism rates. It concludes with strategic recommendations for the ethical deployment of these technologies to ensure a secure, rights-based rehabilitative environment.

Ähnliche Arbeiten