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Artificial Intelligence (Neural Network) as a Modern Perspective for Optimizing the Work of an Investigator with Procedural and Other Documents

Abstract

The article is devoted to the prospects for optimizing the investigator's work with procedural and other documents using the capabilities of a neural network. The authors note that the modern Russian state and society have embarked on the path of intensive digitalization, this direction is predetermined by the needs of development in various areas of both science and practice. Currently, the development and attempts to implement such a type of artificial intelligence as a neural network into the activities of state bodies and public organizations of various levels are in the active phase. The authors consider those ways of optimizing the investigator's work that will help in drawing up printed procedural and other documents. Also, the authors determine the problems that the investigator faces when drawing them up and suggest areas for improvement. The authors propose to develop and implement in the system of the Ministry of Internal Affairs of Russia a program that will contain templates of all documents that the investigator needs when investigating a criminal case. This program will have built-in neural networks or other software that will perform the assigned tasks (correct errors, translate text into a third party, translate text into other languages, facilitate the circulation of documents between all state and non-state institutions (organizations), and other tasks).

How to Cite this article

Теткин Д.В., Даниленко Д.Д. Искусственный интеллект (нейросеть) как современная перспектива оптимизации работы следователя с процессуальными и иными документами // Право: история и современность. 2024. Т. 8, № 4. С. 480 – 489. doi: 10.17277/pravo.2024.04.pp.480-489