Legal Challenges and Responses to Artificial Intelligence-Assisted Decision-Making in the International Economic Law System

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作者：
School of Law, Henan University of Urban Construction, Henan, Pingdingshan [1 ]
467044, China
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来源：
Appl. Math. Nonlinear Sci. | / 1卷
关键词：
Legal judgment prediction is becoming a research hotspot in the legal field as an important artificial intelligence-assisted decision-making tool in legal case management; which is able to predict judgment results. In this paper; data from the 2018 China Law Research Cup competition is gathered; and the dataset is preprocessed in the context of international economic law. Then; a multi-task model for legal verdict prediction is proposed; and the training optimization and prediction of the model are designed using CNN; RNN; and LSTM as the semantic coding layer. The model proposed in this paper achieves a significant improvement of 8% and 6% in the accuracy of the model in the prediction of the charging task and the legal sentence task; respectively. In case outcome prediction; the accuracy of the model proposed in this paper is improved by 14.6% on average compared to the feature model-based modeling approach. © 2024 Xiaojuan Zhang; published by Sciendo;
D O I：
10.2478/amns-2024-2506
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