System and algorithm in quality management of lawmaking in the Russian Federation
https://doi.org/10.55648/1998-6920-2025-19-2-3-9
Abstract
In this article, we consider the system of quality management of lawmaking in the
Russian Federation. Its basic elements are defined: a subsystem of entities with lawmaking
initiative; a subsystem of the process of adoption of normative legal acts (NLA); a subsystem of
giving legal force to NLA. The subsystem of entities with lawmaking initiative includes entities
established by the Constitution of the Russian Federation. The subsystem of the process of
adoption of NLA includes the following elements: NLA; quality criteria for NLA; methods for
assessing the quality of NLA; legal examinations of NLA (more than sixteen); experts; actions
to approve, supplement, amend and reject NLA; assessment of the quality of draft NLA. The
subsystem of giving legal force to NLA includes entities that carry out actions to make a
decision on the approval and publication of NLA. The main tool for quality control
(management) of regulatory legal acts, according to the authors, is conducting legal
examinations, therefore they propose a generalized algorithm for assessing the quality of
regulatory legal acts, which contains the following steps: submitting a draft regulatory legal act
to the competent authority; examination of the specified regulatory legal act; calculating the
indicator of readiness of the regulatory legal act; the stage of completing the inspections of the
regulatory legal act, in case of its compliance with the established quality criteria; stages of
giving the draft regulatory legal act legal force. The paper proposes a general simple
classification of controlled quality factors in legal examinations, introduces the concept of the
indicator of readiness of regulatory legal acts, which is an assessment of the quality of draft
regulatory legal acts for compliance with certain quality criteria of regulatory legal acts. As an
example for conducting quality control of lawmaking, the procedures of anti-corruption
examination (ACE) are selected.
About the Authors
Dmitry Leonidovich Kosov
Novosibirsk State Technical University
Russian Federation
Russian Federation
assistant of the Department of Information Security of the Novosibirsk State Technical University
Viktor Matveevich Belov
Siberian State University of Geosystems and Technologies
Russian Federation
Dr. of Technical Sciences, Professor, Professor of theSiberian State University of Geosystems and Technologies
Russian Federation
Dr. of Technical Sciences, Professor, Professor of theSiberian State University of Geosystems and Technologies
References
1. A large-scale legal dataset for judgment prediction. Chinese AI and Law challenge dataset (CAIL2018) [Jelektronnyj resurs]. Chaojun Xiao, Xaoxi Zhong, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Yansong Feng, Xianpei Han, Zhen Hu, Heng Wang, Jianfeng Xu; China. 04.07.2018. URL: https//arxiv.org/pdf/1807.02478v1.pdf (data obrashhenija: 02.01.2023).
2. Colombian judge says he used chatgpt in ruling // Guardian news & Media limited [electronic periodical]: Luke Taylor; Bogotá. 03.02.2023.URL: https://www.theguardian.com/technology/2023/feb/03/colombia-judge-chatgpt-ruling (date of access: 01.05.2024).
3. Metodika pervichnogo analiza (jekspertizy) korrupciogennosti normativnyh pravovyh aktov [The methodology of the primary analysis (examination) of the corruption of normative legal acts]. Je.V. Talapina, V.N. Juzhakov; pod red. V.N. Juzhakova. M.: Centr Strateg. razrab., Statut, 2007. 96р.
4. Astanin V.V., Andrianova D.V., Radchenko V.I., Rogovaja A.V., Fadeeva N.A. Metodicheskie rekomendacii po provedeniju pravovoj i antikorrupcionnoj jekspertizy normativnyh pravovyh aktov sub#ektov Rossijskoj Federacii i municipal'nyh obrazovanij (s illjustraciej na konkretnyh primerah) [Methodological recommendations for conducting legal and anti-corruption expertise of regulatory legal acts of the subjects of the Russian Federation and municipalities (illustrated with specific examples)]: M.: FBU NCPI pri Minjuste Rossii, 2017. 56 р.
5. Vozmozhnosti primenenija iskusstvennogo intellekta v gosudarstvennom upravlenii i juridicheskie jekspertizy [The possibilities of using artificial intelligence in public administration and legal expertise]. Je. V. Talapina, V. N. Juzhakov, A. A. Efremov, I. A. Chereshneva. Moskva: Izdatel'skiĭ dom «Delo», RANHiGS, 2022. 190 р.
6. Salimova, T.A. Upravlenie kachestvom: ucheb. Po special`nosti «Menedzhment organizacii». T.A. Salimova. 2-e izd., ster. M.: Izd-vo «Omega-L», 2008. 414s.
7. Upravlenie kachestvom: uchebnik. M.B. Shhepakin, A.S. Basyuk, V.V. Yanova. – Rostov n/D: Feniks; Krasnodar: KubGTU, 2014. 256р.
8. Muzhenskaya N.E. E`kspertiza v Rossijskom zakonodatel`stve: Rukovodstvo-spravochnik dlya sledovatelya, doznavatelya, sud`i. N.E. Muzhenskaya. M.: RG-Press, 2015. 744 р.
9. Belov V.M., Pivkin E.N., Grishhenko L.A., Arhipova A.B. Inzhenernyj vestnik Dona, 2021, N2, URL: ivdon.ru/ru/magazine/archive/n2y2021/6821.
10. Kosov D.L., Belov V.M., Grishhenko L.A. Inzhenernyj vestnik Dona, 2021, N3, URL: ivdon.ru/ru/magazine/archive/n3y2021/6890.
Review
For citations:
Kosov D.L., Belov V.M. System and algorithm in quality management of lawmaking in the Russian Federation. The Herald of the Siberian State University of Telecommunications and Information Science. 2025;19(2):3-9. (In Russ.) https://doi.org/10.55648/1998-6920-2025-19-2-3-9
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