CWR > Volume 8(2); 2022 > Article
Research Article
Published online: September 1, 2022
DOI: http://dx.doi.org/10.14330/cwr.2022.8.2.04
Juvenile Offenders in Community Corrections: A Systemic Look at Risk Evaluation Methods to Implement UN Resolutions under the Chinese Legal System
Yu Lin & Tao Jin
Fujian Normal University / Fuzhou University
Room 208, Xinchu Building, No. 2 Xueyuan Road, Minhou County, Fuzhou, Fujian 350116 PRC
Corresponding author: jintly@edu.cn
ⓒ Copyright YIJUN Institute of International Law. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distrJuvenile Offenders in Community Corrections: A Systemic Look at Risk Evaluation Methods to Implement UN Resolutions under the Chinese Legal Systemibution, and reproduction in any medium, provided the original work is properly cited.
Abstract
In recent years, juvenile offenders have made up an increasing number of all criminal suspects, and minor crimes are becoming a more serious social problem in most countries and regions around the world. While community correction occupies a very important position in the minor crime punishment system, current community correction risk assessments mainly depend on qualitative analysis or simple mathematical statistics using collected data. In combination with relevant theories and regulations, this paper offers a systematic look at the development and theories of community correction and the related risk assessment system and analyzes the characteristics of community correction risk assessment methods of juvenile offenders in different countries. Moreover, it discusses some new risk assessment technologies based on artificial intelligence theory for community correction risk evaluation of juvenile offenders. The effectiveness of the proposed community correction risk assessment method is verified using some real-world community correction assessments.
Keywords : Juvenile Offenders, Community Correction, Risk Assessment, Artificial Intelligence
