WAYS TO IMPROVE THE EFFICIENCY OF HANDLING APPEALS THROUGH THE INTRODUCTION OF ARTIFICIAL INTELLIGENCE IN THE PROSECUTOR’S OFFICE

Authors

  • Sherzod Zokirov

DOI:

https://doi.org/10.47390/SPR1342V5I12Y2025N74

Keywords:

artificial intelligence, prosecution bodies, citizen appeals, digitalization, information security, algorithmic bias, Russian prosecution system, electronic appeals, automated analysis, legal framework.

Abstract

This article examines the legal, organizational, and practical aspects of integrating artificial intelligence technologies into the system of handling appeals submitted by individuals and legal entities to prosecution bodies.

Based on the experience of the Prosecutor’s Office of the Russian Federation, the study explores the potential of AI for automated sorting, classification, analysis of appeals, and generating standard procedural documents. The article highlights key advantages of AI implementation, including increased efficiency, enhanced analytical capacity, transparency, and reduced workload on prosecutors.

At the same time, risks related to information security, protection of personal data, algorithmic bias, and the undefined legal status of AI-generated decisions are analyzed. The author proposes legal and organizational measures to improve the effective and safe integration of AI into prosecutorial activities.

References

1. Карпышева Ю.О. О влиянии возможностей искусственного интеллекта на проактивность прокурорской деятельности / Ю.О. Карпышева. — DOI 10.17150/2411-6262.2025.16(1).10- 17. — EDN VOPSNC // Baikal Research Journal. — 2025. — Т. 16, № 1. — С. 10–17.

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3. https://prokuratura.uz/#/murojaatlar

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Submitted

2025-12-15

Published

2025-12-15

How to Cite

Zokirov, S. (2025). WAYS TO IMPROVE THE EFFICIENCY OF HANDLING APPEALS THROUGH THE INTRODUCTION OF ARTIFICIAL INTELLIGENCE IN THE PROSECUTOR’S OFFICE. Ижтимоий-гуманитар фанларнинг долзарб муаммолари Актуальные проблемы социально-гуманитарных наук Actual Problems of Humanities and Social Sciences., 5(12), 408–415. https://doi.org/10.47390/SPR1342V5I12Y2025N74