Computer Science ›› 2026, Vol. 53 ›› Issue (6A): 251000061-9.doi: 10.11896/jsjkx.251000061

• Artificial Intelligence • Previous Articles     Next Articles

Criminal Law Adaptation for Digital Civilization:Paths Regulation and System Construction of Artificial Intelligence Crime

LI Xiao1, LI Xinyi2   

  1. 1 School of Information Management for Lawat,China University of Political Science and Law,Beijing 102249,China
    2 School of Civil and Commercial Law,Northwest University of Political Science and Law,Xi'an 710100,China
  • Online:2026-06-16 Published:2026-06-12
  • About author:LI Xiao,born in 1986,Ph.D,associate professor.His main research interests include Legal AI and big data in criminal psychology.
  • Supported by:
    National Key Research and Development Program(2022YFC3303000,2022YFC3303001),Industry-University Cooperation Collaborative Education Program of the Ministry of Education(241100007150419) and Young Teachers' Academic Innovation Research Team Program of China University of Political Science and Law(25CSTD01).

Abstract: Artificial intelligence technology,characterized by its autonomy,lack of explicability,and systemic impact,is fostering new forms of criminal activity.While traditional criminal offenses can partially address technology-abuse crimes through expansive interpretation,their limitations regarding the specificity of protected legal interests and the constituent elements of acts have become apparent.The current regulation of AI crime faces a dual dilemma:the absence of legislation for new types of criminal acts and the lack of specific laws addressing the misuse of AI technology.This paper addresses the structural challenges posed by AI crime to the traditional criminal law system against the backdrop of the digital civilization transition,aiming to construct an integrated response framework combining “path regulation” and “system construction”.Regarding the path of regulation,it seeks to systematically integrate governance resources across three dimensions-ex-ante,interim,and ex-post:technical regulation embeds legal obligations into the code architecture,procedural innovation tackles the algorithmic black box in judicial proof,and collaborative governance,based on controllability,achieves precise imputation.In terms of system construction,an approach that “emphasizes both interpretative and legislative theories” is adopted.This involves conducting limited expansive interpretations of traditional offenses to cover new behavioral patterns such as virtual property infringement and system deception,while simultaneously introducing new charges such as the crime of unlawful algorithmic manipulation and the crime of deepfake information abuse to fill the normative void arising from technological autonomy.Furthermore,it establishes judicial identification standards for AI technical facts,institutionalizing procedural innovation to ensure the practical implementation of substantive rules.It also constructs judicial identification norms for AI technical facts,legalizing the technical verification process to provide procedural safeguards for the judicial application of the aforementioned paths and systems.Ultimately,this research aims to promote the transformation of criminal law from a punitive law of the industrial era to a safeguarding law of the digital age,achieving a dynamic balance between technological innovation and criminal justice.

Key words: Artificial intelligence, Crime, Criminal regulation, Expanded interpretation, Technical determinatio

CLC Number: 

  • D924
[1] BAI L T.The Identification Standard of “Misunderstanding” inthe Crime of Fraud [J].Chinese Journal of Law,2023(4):112-125.
[2] LIU X Q.The Dilemma of Identifying Criminal Responsibility for Artificial Intelligence Crimes [J].China Legal Science,2022(5):89-103.
[3] JI Y.No Need to Reconstruct the Criminal Responsibility System in the AI Era [J].Journal of Comparative Law,2019(4):123-137.
[4] LIU X Q.On the Criminal Subject Status of Artificial Intelligence [J].Law Science Magazine,2020(3):45-58.
[5] WANG S Z.The Interpretative Approach to Regulating Cybercrime [J].Modern Law Science,2021(2):78-92.
[6] LIU X Q.The View of Criminal Law in the AI Era [M].Shanghai People's Publishing House,2019:156-160.
[7] CHEN H B.Negation of AI's Criminal Subject Status and Its Practical Application [J].Social Science Journal,2021(6):92-98.
[8] GOODFELLOW I,POUGET-ABADIE J,MIRZA M,et al.Generative adversarial nets [J].Communications of the ACM,2020,63(11):139-144.
[9] Global Times.HK$200 Million AI Deepfake Fraud Case Oc-curred in Hong Kong [N].2024-03-15.
[10] New Energy Vehicle News.Intelligent Driving Safety Incidents TriggerIndustry Reflection [N].2024-05-20.
[11] IBM Security.X-Force Threat Intelligence Index 2024 [R].2024:15-18.
[12] Group-IB.Hi-Tech Crime Trends 2023 [R].2023:27-30.
[13] ZHANG Y Q,LI F F.Research on Safety Performance Evaluation of Autonomous Driving Systems [J].Acta Automatica Sinica,2023,49(5):1021-1035.
[14] Zhejiang University AI Research Institute.AI Ethics and Regulation [M].Science Press,2023:156-160.
[15] China Academy of Information and Communications Technology.AI Security White Paper(2023) [R].2023:45-48.
[16] Peking University AI and Law Lab.Research on Legal Regulation of Algorithmic Discrimination [J].Peking University Law Journal,2024,36(1):89-105.
[17] Supreme People's Court.Interpretation on Several Issues Concerning the Application of Law in Handling Criminal Cases Endangering Computer Information System Security [J].Gazette of the Supreme People's Court of the People's Republic of China,2019(5):12-15.
[18] China Law Society Cyber and Information Law Research Society.2023 Annual Conference Proceedings [C]//Beijing:China Legal Publishing House,2023:123-126.
[19] Beijing Haidian District People's Court. Civil Judgment:(2022) Jing 0108 Min Chu No.12345[M/CD].Beijing:Beijing Haidian District People's Court,2022.
[20] Supreme People's Court Judicial Case Research Institute.Research Report on Judicial Application of AI 2023 [R].2023:34-37.
[21] ZHANG M K.Criminal Law(6th Edition) [M].Law Press China,2023:45-48.
[22] LIU X Q.The View of Criminal Law in the AI Era [M].Shanghai People's Publishing House,2019:45-48.
[23] ZHANG M K.Criminal Law(6th Edition) [M].Law Press China,2023:156-160.
[24] ZHANG B.Introduction to Explainable AI [M].Tsinghua University Press,2023:89-92.
[25] WANG L M.Legal Transformation in the AI Era [J].China Legal Science,2023(4):56-68.
[26] MA C S.Governance Innovation in the Smart Society [M].Law Press China,2023:134-137.
[27] Supreme People's Court.Interpretation on Several Issues Concerning the Application of Law in Handling Criminal Cases Endangering Computer Information System Security [J].Gazette of theSupreme People's Court of the People's Republic of China,2019(5):12-15.
[28] CHEN X L.Philosophy of Criminal Law [M].China RenminUniversity Press,2022:278-281.
[29] ZHOU G Q.General Principlesof Criminal Law(4th Edition) [M].China Renmin University Press,2023:167-170.
[30] LIANG G L.On the Rules of Criminal Law Interpretation and Application [J].Law Science,2023(3):78-91.
[31] LI H.General Theory of Criminal Law(2nd Edition) [M].Law Press China,2023:203-206.
[32] OUYANG B Q.The Path of Criminal Regulation of AI Crimes [J].Studies in Law and Business,2023(1):112-125.
[33] JIANG T.Jurisprudential Proof of Criminal Regulation of AI[J].Peking University Law Journal,2023(4):89-102.
[34] LAO D Y.AI and Criminal Regulation [J].ChineseJournal of Criminal Law,2023(2):56-69.
[35] WANG Q.Research on Copyright Issues of AI-Generated Content [J].Law Science,2023(5):34-47.
[36] BAI L T.Commentary onArticle 266(Fraud) of the Criminal Law [J].China Journal of Applied Jurisprudence,2025(2):182-197.
[37] ZHANG J G.Criminal Risks in the Age of Artificial Intelli-gence:Focusing on Intelligent Robots [J].Journal of Chongqing University of Technology(Social Science),2019(8):87-94.
[38] LI B Y,BAI Y,ZHAN X N,et al.Technical Characteristics and Evolution of AI-Generated Content(AIGC) [J].Library Information Knowledge,2023(1):66-74.
[39] CHENG T.Risk Prevention and Criminal Regulation of Defective AI Products [J].China Price Supervision and Anti-Monopoly,2024(9):87-89.
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