skip to main content
10.1145/3495018.3495327acmotherconferencesArticle/Chapter ViewAbstractPublication PagesaiamConference Proceedingsconference-collections
research-article

On the Application of Artificial Intelligence Technology in the Field of Judicial Adjudication

Published: 14 March 2022 Publication History

Abstract

The introduction of artificial intelligence technology into judicial adjudication is of great significance. By using the intelligent case handling system to assist judges in handling cases, on the one hand, it can effectively alleviate the problem of many cases but few judges in Chinese courts, thereby improving judicial efficiency; on the other hand, judges can retrieve information about similar cases on the judgment document management platform. This can promote the unification of the law and protect the judges to exercise their discretion. However, the scope of use of artificial intelligence technology should be controlled in judicial judgments. Under the conditions of following the provisions of judicial judgments, based on China's national conditions and judicial practice experience, set up legal and reasonable regulations and procedures. Promote the combination of artificial intelligence "technology" and "people" in judicial trials to ensure the legal operation of the judicial intelligence process.

References

[1]
Marvin Minsky:Computation:Finite and Infinite Machines,Prentice-Hall,1967:11-12
[2]
Xin Li, Peiqi LIU, The Opportunities and Challenges of Legal Profession in Artificial Intelligence Age, Journal of Inner Mongolia Normal University (Philosophy and Social Sciences Edition), No. 2, 2020, page 77
[3]
Chen Su, Tian He: "Report on the Development of Informatization of Chinese Courts", Social Science Literature Publication, 2020 edition, p. 12.
[4]
Ruihua Chen: Recommendations on sentencing, published in "Politics and Law Forum", No. 2, 2011, page 14.
[5]
Weimin Zuo: Judicial Practices of Big Data and Artificial Intelligence-How to Realize Judicial Cases and Judgments through Artificial Intelligence, China Law Review, Issue 2, 2018, p. 114
[6]
Meng Huang and Junming Wu: "Judicial Application of Artificial Intelligence under the Judgment Threshold of Different Cases", published in "Journal of Chengdu Institute of Public Administration", Issue 5, 2020, pages 44-46.
[7]
Jianlin Bian: "Opportunities and Challenges of China's Criminal Procedure System in the Era of Artificial Intelligence", published in "Jianghuai Forum", Issue 4, 2020, No. 152-1
[8]
Kun Wu: "Information Philosophy-Theory, System, Method", Beijing: The Commercial Press, 2005 edition, pp. 506-510.
[9]
Weidong Chen: Re-discussion on the Theoretical Issues of the Leniency System for Plea and Punishment, published in Global Law Review, Issue 2, 2020, pp. 33-34.
[10]
Weimin Zuo, Hotness and Coldness: Rethinking of Legal Artificial Intelligence in China, Global Law Review, No. 2, 2019, page 56
  1. On the Application of Artificial Intelligence Technology in the Field of Judicial Adjudication

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture
    October 2021
    3136 pages
    ISBN:9781450385046
    DOI:10.1145/3495018
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 14 March 2022

    Permissions

    Request permissions for this article.

    Check for updates

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    AIAM2021

    Acceptance Rates

    Overall Acceptance Rate 100 of 285 submissions, 35%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 50
      Total Downloads
    • Downloads (Last 12 months)5
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 08 Mar 2025

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media