Progress of Judicial Judgment Prediction Based on Artificial Intelligence
WANG Wanzhen1,2, RAO Yuan1,2,3, WU Lianwei1,2,3, LI Xue1,2
1.Shenzhen Research Institute, Xi'an Jiaotong University, Shenzhen, Guangdong 518057, China; 2.Joint Artificial Intelligence Key Laboratory of Shaanxi Province, Xi'an, Shaanxi 710049, China; 3.Lab of Social Intelligence & Complex Data Processing, School of Software Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China
Abstract：Artificial intelligence is increasingly emphasized in judicial practices in recent years. Based on the literature on intelligent models for assisting judicial cases, this paper suggests the following six challenges in legal judgement decision prediction: multi-feature crime prediction, multi-label crime prediction, multiple sub-task processing, unbalanced data issue, the interpretability of decision prediction and the adaption of existing algorithms to different types of cases. Meanwhile, the paper provides theoretical discussion, technical analysis, technical challenges as well as trend analysis for these problems. The datasets used in this field and the corresponding evaluation metrics are also summarized.
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2021, Vol. 35 
