Analysis of the Influencing Factors of the Artificial Intelligence Judicial Referee System

  • Deqiang ChenEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1074)


This paper discusses the influencing factors of the artificial intelligence judicial referee system. Through the AHP model, the weights and relationship levels between the involved factors are fully examined. Through algorithm analysis and test, the experimental results show that the analytic hierarchy process can effectively analyze the weights of the judicial judgments and prevent the risk of different judgments.


Analytic hierarchy process Artificial intelligence Judicial referee system 



Thanks for the funds support of Chinese Law Society 2018 Ministerial Law Research Project (CLS-2018-D108) and East China University of Political Science and Law’s research projects (A-0333-18-139015) and thanks for East China University of Political Science and Law Judicial Identification Center.


  1. 1.
    Buchanan, B.G., Headrick, T.E.: Some speculation about artificial intelligence and legal reasoning. Stanford Law Rev. 23, 40–62 (1970)CrossRefGoogle Scholar
  2. 2.
    Simon, E., Gaes, G.: International Conference on Artificial Intelligence & Law (1989)Google Scholar
  3. 3.
    St Amand, M.D., Zamble, E.: Impact of information about sentencing decisions on public attitudes toward the criminal justice system. Law Hum Behav. 25, 515–528 (2001)CrossRefGoogle Scholar
  4. 4.
    Bai, J.: Sentence prediction research based on the collective experience of judges. Jurisprudential Res. 06, 140–154 (2016)Google Scholar
  5. 5.
    Srdjevic, B., Pipan, M., Srdjevic, Z., Blagojevic, B., Zoranovic, T.: Virtually combining the analytical hierarchy process and voting methods in order to make group decisions. Univ. Access Inf. Soc. 14, 231–245 (2015)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.East China University of Political Science and LawShanghaiChina

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