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author:

Lin, Y. (Lin, Y..) [1] | Jin, T. (Jin, T..) [2] (Scholars:金涛)

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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. © 2022, Yijun Institute of International Law. All rights reserved.

Keyword:

Artificial Intelligence Community Correction Juvenile Offenders Risk Assessment

Community:

  • [ 1 ] [Lin, Y.]College of Law, Fujian Normal University, Room 212, Renwen Building, No.8 Xuefu South Road, Minhou County, Fujian, Fuzhou, 350117, China
  • [ 2 ] [Jin, T.]College of Electrical Engineering and Automation, Fuzhou University, Room 208, Xinchu Building, No. 2 Xueyuan Road, Minhou County, Fujian, Fuzhou, 350116, China

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Source :

China and WTO Review

ISSN: 2383-8221

Year: 2022

Issue: 2

Volume: 8

Page: 303-330

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JCR@2022

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JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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