STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Application, Difficulties and Countermeasures of Artificial Intelligence in Discipline Inspection, Supervision, Review and Investigation
DOI: https://doi.org/10.62517/jike.202604321
Author(s)
Shengcai Pu
Affiliation(s)
Gongjing District Education and Sports Bureau, Zigong, Sichuan, China
Abstract
Based on the practical needs of review and investigation work, this article systematically analyzes the application scenarios and practical value of artificial intelligence in key links such as clue research and judgment, evidence review, case analysis, and document production; In-depth research and judgment of practical difficulties such as data governance, algorithm security risks, human-machine collaboration imbalance, and lagging system norms faced in the process of technology application; Finally, from the five dimensions of data system construction, algorithm risk prevention and control, human-machine mechanism optimization, system guarantee improvement, and talent team building, targeted cracking countermeasures are proposed.
Keywords
Artificial Intelligence; Review of Investigations; Human-Machine Collaboration
References
[1] Yu Shaoru, Tang Chengyu. Disciplinary Inspection and Supervision Talent Training System: Value, Elements and Paths. Journal of the National School of Educational Administration,2024, (12):67-76. [2] Xue Xiaohan. The practical problems of artificial intelligence empowering discipline inspection, supervision and supervision and their solutions. Journal of Shanghai University of Political Science and Law (Rule of Law),2026,41(3):172-186. [3] Wu Jianxiong, Song Yang. Legal Risk and Control of Artificial Intelligence-Assisted Disciplinary Inspection and Supervision Cases. Journal of Guangzhou University (Social Science Edition), 2025(04):1-8. [4] Liu Yupeng. Thoughts on Artificial Intelligence Empowering Disciplinary Inspection and Supervision Work. China Nonferrous Metals,2025, (16):58-59. [5] Li Li, Liang Zhenglin. Disciplinary Inspection and Supervision Large Language Model: Application Scenarios, Algorithm Logic and Governance Challenges. Journal of Chengdu University of Technology (Social Science Edition),2025(03):1-7. [6] Li Jingbao. The Transformation Logic and Realization Path of Disciplinary Inspection and Supervision Paradigm Driven by Digital Technology. Journal of Shanghai Administration College,2026,27(3):27-42. [7] Wang Senhong. Application and Optimization of Digital Technology Empowering Supervision and Investigation. Research on Intra-Party Regulations,2026,5(3):149-160. [8] Gu Yahui. Risks and Regulations of Generative Artificial Intelligence Empowering Criminal Investigation. Journal of China Police University,2026(02):45-52. [9] Jiang Laiyong. The Formation and Solving of the Shortage of Disciplinary Inspection and Supervision Theory Talents--Based on a Survey of the National Doctoral and Master's Dissertation Full-text Database. Journal of the Party School (National School of Administration),2023,27(5):12-23. [10] Shen Yang. Legal Risks and Coping Strategies of Artificial Intelligence-Assisted Disciplinary Inspection and Supervision. Journal of Heilongjiang Political and Legal Management Cadre College,2026, (2):127-134. [11] Zhang Yong. Research on the intelligent transformation of discipline inspection and supervision work under the background of big data. Journal of China Academy of Discipline Inspection and Supervision,2024(02):56-63. [12] Dong Shitao, Liu Jing. Construction of Disciplinary Inspection and Supervision Talents Training from the Perspective of New Liberal Arts. Journal of Guangzhou University (Social Science Edition),2023,22(6): 24-29+117.
Copyright @ 2020-2035 STEMM Institute Press All Rights Reserved