Research hotspots and prospects of judicial artificial intelligence at home and abroad
The Citespace knowledge graph analysis method was used to quantitatively analyze 440 core literature on judicial artificial intelligence both domestically and internationally.The knowledge graph of judicial artificial intelligence research was described,and an analytical framework of"theory-content dichotomy-consequence"was constructed.The results indicate that research on judicial artificial intelligence at home and abroad mainly focuses on the legitimacy,functional mechanisms,limitations,and functional alienation of judicial artificial intelligence,and there are shortcomings such as prominent problem domain characteristics,insufficient theoretical integration,and lack of inheritance research.In the future,efforts should be made to strengthen empirical and mathematical research,integrate research benchmarks for the functions and limitations of judicial artificial intelligence,strengthen sinking research,and promote the development of empirical scenarios for functional mechanisms,in order to promote the deepening and transforming of research and serve the practice of smart justice.
NETL
NSTL
万方数据
