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Legal Studies
Reference:

The Law and Artificial Intelligence: Experience in Developing Computational Methodology for Intellectual Analysis of Russian and Regional Practice in Judicial Review of Administrative Judgements (Decisions) (the Case Study of Article 20.4 of the Administrative Offences Code of the Russian Federation)
Trofimov Egor

Doctor of Law

Deputy Director for Science, St. Petersburg Institute (Branch) of the All-Russian State University of Justice

199178, Russia, g. Saint Petersburg, 10-ya liniya V.O., 19, lit. A, kab. 36

diterihs@mail.ru
Другие публикации этого автора
 

 
Metsker Oleg Gennad'evich

PhD in Technical Science

Scientific Associate, Center of Cognitive Technologies, Saint Petersburg National Research University of Information Technologies, Mechanics and Optics

197101, Russia, g. Saint Petersburg, Kronverkskii pr-kt, 49

olegmetsker@gmail.com
Другие публикации этого автора
 

 

Article was received:

23-07-2019


Review date:

25-07-2019


Abstract.

The matter under research is judicial practice in review of administrative judgements (decisions) as stated by Article 20.4 'Fire Safety Violations' of the Administrative Offences Code of the Russian Federation. The absence of judicial statistics about individual categories of administrative offences at the federal and regional levels causes the need to use computational methods to collect, process and analyse data. To achieve research targets, the authors of the article have used data of state autmoated system 'Justice'. Empirical base of the research was developed with the help of crawler based on POST-inquiries with some JSON parameter. As a result of inquiries, the researchers have received complete records of judicial acts and have used these to make a classification. For detailed intellectual analysis, the researchers have referred to 4.9 thousand judicial solutions about review of administrative judgements (decisions) based on Article 20.4 of the Administrative Offences Code of the Russian Federation for the period since 2010 till 2017. As a result of the research, the authors have created and tested the methodology of extraction, analysis and interpretation of practical judicial data that are not provided by judicial statistics. In the course of interpretation of empirical data, the authors have discovered general Russia's trends in law enforcement as a result of increased efficiency of administrative law as well as have created three regional models of correlation of results for review of administrative judgements (decisions) that have been associated with the indicators of regional socio-economic statistics. 

Keywords: computational methodology, computational experiment, big data, machine learning, intellectual analysis, administrative liability, digital state, artificial intelligence, law, fire safety

DOI:

10.25136/2409-7136.2019.7.30351

Publish date:

20-08-2019


This article written in Russian. You can find full text of article in Russian here .

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