On The Construction Of Artificial Intelligence Application Mode In Judicial Adjudication

Judicial adjudication is undoubtedly a very complex and professional work,and the application of artificial intelligence(AI)technology can improve the efficiency of judicial adjudication activities and guarantee justice in judicial adjudication activities.However,the application of AI has also caused some problems in practice.First,why the boundaries of AI remain unclear when it is necessary to allow it to deal with judicial decisions in depth while avoiding the risks it poses to the greatest extent;Secondly,the depth and breadth of the application of AI in judicial practice in China are actually very limited,and the goal of its technological development is still unclear.In order to solve the above problems,current scholars put forward the auxiliary application model and alternative application model of AI in judicial judgment.The former thinks that AI can only help judges deal with some technical and auxiliary work;The latter believes that AI can take the place of judges in judicial decisions.Although the auxiliary application mode responds to the ethical problems of the application of AI,it has the limitation of low-level AI.Although the alternative application mode belongs to high level AI,it is constantly questioned by ethical issues and difficult to realize in a short time.Therefore,based on the analysis of the above two application modes,a new application mode--partial participation mode of AI was explored and put forward,that is,AI can judge cases where summary procedure is applicable,while in other cases,the judge is still the dominant and AI is the auxiliary.Such an application mode can effectively respond to the current ethical and practical problems faced by AI and play an active role in judicial judgment.Specifically,part of the participation mode of AI in judicial judgment can be constructed from three aspects: detailing the substantive participation path of AI in summary procedure cases,the auxiliary participation path of AI in ordinary procedure cases,and improving the promotion of related technologies.