The Application of Artificial Intelligence Decision-Making Algorithm in Crisis Analysis and Optimization of the International Court System

Abstract

Regardless of theoretical research or practical experience, the construction of international wisdom courts has produced a large number of wisdom achievements; however, the scientific convergence between the institutionalized logic of sustainable development and the existing practical achievements has not yet been realized, and there are still problems in the construction of smart courts, such as insufficient practical application, poor system coherence, and insufficient online litigation. Therefore, this study proposes a fusion CNN-GRU network result model that uses a text classification neural network structure convolutional neural network with a good effect to combine the GRU neural network model structure to carry out the task of recommending the law. Promote the development of the connotation of smart courts through the collaborative integration of artificial intelligence technology and system to promote the deep integration of judicial theory and intelligent technology, the deep integration of litigation needs and intelligent technology, and the deep integration of general technology and proprietary development to provide technical mechanisms and legal institutions for the construction of smart courts.