vestnikacademyВестник академии правоохранительных органов Bulletin of the Law Enforcement Academy2518-72523079-4609Академия правоохранительных органов при Генеральной прокуратуре Республики Казахстан10.52425/25187252_2026_40_19vestnikacademy-373Research ArticleСЕМЕЙНОЕ ПРАВОFAMILY LAWАВТОМАТИЗАЦИЯ ПРОЦЕССОВ ВЗЫСКАНИЯ АЛИМЕНТОВ: ПЕРСПЕКТИВЫ ПРИМЕНЕНИЯ ИСКУССТВЕННОГО ИНТЕЛЛЕКТАUTOMATION OF ALIMONY COLLECTION PROCESSES: PROSPECTS FOR THE USE OF ARTIFICIAL INTELLIGENCEКурманалинаА. М.KurmanalinaA. M.

Курманалина Асель Муратовна магистрант

г. Косшы

Kurmanalina Assel Muratovna Master's Student 

Kosshy

assel0905@bk.ruАкадемия правоохранительных органов при Генеральной прокуратуре Республики КазахстанКазахстанThe Law Enforcement Academy under the Procesutor General’s Office of the Republic of KazakhstanKazakhstan20262506202602 (40)1925Copyright © Курманалина А.М., 20262026Курманалина А.М.Kurmanalina A.M.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://vestnikacademy.ejournal.kz/jour/article/view/373

В статье рассматриваются перспективы внедрения технологий искусственного интеллекта в процессы взыскания алиментов в Республике Казахстан. Исследование основано на анализе международных нормативных актов, научных публикаций, а также трудов зарубежных авторов, отражающих концепции цифровизации правосудия и автоматизации правоприменительных процедур.

Автор обосновывает необходимость формирования комплексной цифровой системы исполнительного производства, интегрирующей межведомственные базы данных и интеллектуальные алгоритмы прогнозирования. Показаны потенциальные преимущества и риски применения искусственного интеллекта, а также возможные угрозы для принципов законности и справедливости.

В заключении сформулированы предложения по совершенствованию нормативного регулирования, этических стандартов и организационно-технических механизмов внедрения искусственного интеллекта в сферу исполнения судебных решений.

The article discusses the prospects for the introduction of artificial intelligence technologies in the processes of alimony recovery in the Republic of Kazakhstan. The study is based on an analysis of international regulations, scientific publications, as well as the works of foreign authors reflecting the concepts of digitalization of justice and automation of law enforcement procedures.

The author substantiates the need to form a comprehensive digital system of enforcement proceedings that integrates interdepartmental databases and intelligent forecasting algorithms. The potential advantages and risks of using artificial intelligence, as well as possible threats to the principles of legality and justice, are shown. In conclusion, proposals are formulated to improve regulatory regulation, ethical standards, and organizational and technical mechanisms for the introduction of artificial intelligence into the enforcement of court decisions.

искусственный интеллектисполнительное производствовзыскание алиментовавтоматизацияэффективность правопримененияпрогнозированиеэтические стандартыцифровая трансформацияartificial intelligenceenforcement proceedingsalimony recoveryautomationeffectiveness of law enforcementforecastingethical standardsdigital transformationReferencesWirtz, B.W. Artificial Intelligence and the Public Sector - Applications and Challenges / B.W. Wirtz, J.C. Weyerer, C. Geyer // International Journal of Information Management. – 2019. – № 43. – Pp. 1-14.Wirtz, B.W. Artificial Intelligence and the Public Sector - Applications and Challenges / B.W. Wirtz, J.C. Weyerer, C. Geyer // International Journal of Information Management. – 2019. – № 43. – Pp. 1-14.Kuhlmann, S. Artificial Intelligence in Public Administration: Potentials, Challenges, and Risks / S. Kuhlmann, M. Heuberger // Public Management Review. – 2021. – № 23 (7). – Pp. 1020-1036.Kuhlmann, S. Artificial Intelligence in Public Administration: Potentials, Challenges, and Risks / S. Kuhlmann, M. Heuberger // Public Management Review. – 2021. – № 23 (7). – Pp. 1020-1036.Aletras, N. Predicting Judicial Decisions of the European Court of Human Rights: A Natural Language Processing Perspective / N. Aletras, et al. // PeerJ Computer Science. – 2016. – № 2 (93). – Pp. 1-19.Aletras, N. Predicting Judicial Decisions of the European Court of Human Rights: A Natural Language Processing Perspective / N. Aletras, et al. // PeerJ Computer Science. – 2016. – № 2 (93). – Pp. 1-19.Katz, D.M. A General Approach for Predicting the Behavior of the Supreme Court of the United States / D.M. Katz, M.J. Bommarito, J. Blackman // PLOS ONE. – 2017. – № 12 (4). – Pp. 1-18.Katz, D.M. A General Approach for Predicting the Behavior of the Supreme Court of the United States / D.M. Katz, M.J. Bommarito, J. Blackman // PLOS ONE. – 2017. – № 12 (4). – Pp. 1-18.Medvedeva, M. Using Machine Learning to Predict Decisions of the European Court of Human Rights / M. Medvedeva, M. Vols, M. Wieling // Artificial Intelligence and Law. – 2020. – № 28. – Pp. 237-266.Medvedeva, M. Using Machine Learning to Predict Decisions of the European Court of Human Rights / M. Medvedeva, M. Vols, M. Wieling // Artificial Intelligence and Law. – 2020. – № 28. – Pp. 237-266.Rawls, J.A Theory of Justice / J. Rawls. – Cambridge, MA: Harvard University Press, 1971. – 538 p.Rawls, J.A Theory of Justice / J. Rawls. – Cambridge, MA: Harvard University Press, 1971. – 538 s.Janssen, M. The Challenges and Limits of Big Data Algorithms in Public Sector Decision Making / M. Janssen, G. Kuk // Government Information Quarterly. – 2016. – № 33 (3). – Pp. 371-377.Janssen, M. The Challenges and Limits of Big Data Algorithms in Public Sector Decision Making / M. Janssen, G. Kuk // Government Information Quarterly. – 2016. – № 33 (3). – Pp. 371-377.Sourdin, T. Law, Artificial Intelligence and Digital Platforms. / T. Sourdin, R. Cornes // Cheltenham: Edward Elgar. – 2021. – 320 p.Sourdin, T. Law, Artificial Intelligence and Digital Platforms. / T. Sourdin, R. Cornes // Cheltenham: Edward Elgar. – 2021. – 320 s.Wachter, S. Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation / S. Wachter, B. Mittelstadt, L. Floridi // International Data Privasy Law. – 2017. – № 7 (2). – Pp. 76-99.Wachter, S. Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation / S. Wachter, B. Mittelstadt, L. Floridi // International Data Privasy Law. – 2017. – № 7 (2). – Pp. 76-99.Sadykov, M.B. The use of artificial intelligence in law enforcement activity / M.B. Sadykov, S.Ch. Gajanayaka // Құқық қорғау органдары академиясының Жаршысы. – 2024. – № 1 (31). – Pp. 175-183.Sadykov, M.B. The use of artificial intelligence in law enforcement activity / M.B. Sadykov, S.Ch. Gajanayaka // Құқyқ қorғau organdary akademijasynyң Zharshysy. – 2024. – № 1 (31). – Pp. 175-183.Nurkeeva, D.R. The usage of artificial intelligence to ensure the principle of legality in criminal proceedings: opportunities and risks / D.R. Nurkeeva, M.B. Sadykov // Құқық қорғау органдары академиясының Жаршысы. – 2024. – № 3 (33). – Pp. 101-108.Nurkeeva, D.R. The usage of artificial intelligence to ensure the principle of legality in criminal proceedings: opportunities and risks / D.R. Nurkeeva, M.B. Sadykov // Құқyқ қorғau organdary akademijasynyң Zharshysy. – 2024. – № 3 (33). – Pp. 101-108.

The authors declare that there are no conflicts of interest present.