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.

I. Introduction
II. Development of Community CorrectionEducation for Juvenile Offenders
III. Definition and Significance of CommunityCorrection Risk Assessment
IV. Current Main Risk Assessment Methods ofMinor Community Correction
V. Application of Artificial Intelligence toJuvenile Offenders in Community Corrections
VI. Conclusion
References

• Yu Lin(Assistant Professor at College of Law, Fujian Normal University)
• Tao Jin(Professor at College of Electrical Engineering and Automation, Fuzhou University)