Hye-sung Jung, Eun-bi Cho, Jeong-hyeon Chang, Journal of Internet Computing and Services, Vol. 24, No. 6, pp. 99-105, Dec. 2023
10.7472/jksii.2023.24.6.99, Full Text:
Keywords: AI, LegalTech, Judgment, RNN, Crime Script Analysis

Abstract

In the 4th industrial revolution, the field of criminal justice is paying attention to Legaltech using artificial intelligence to provide efficient legal services. This paper attempted to create a crime prediction model that can apply Recurrent Neural Network(RNN) to increase the potential for using legal technology in the domestic criminal justice field. To this end, the crime process was divided into pre, during, and post stages based on the criminal facts described in the judgment, utilizing crime script analysis techniques. In addition, at each time point, the method and evidence of crime were classified into objects, actions, and environments based on the sentence composition elements and the 8 principles of investigation. The case summary analysis framework derived from this study can contribute to establishing situational crime prevention strategies because it is easy to identify typical patterns of specific crime methods. Furthermore, the results of this study can be used as a useful reference for research on generating crime situation prediction data based on RNN models in future follow-up studies.

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