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ALGORITHMIZATION OF LAW ENFORCEMENT MANAGEMENT PROCESSES USING ARTIFICIAL INTELLIGENCE
Resumo
Objective: Despite the opportunities that are opening up due to the development of information support systems and artificial intelligence in law enforcement, unfortunately, the Russian Federation has not yet fully formed a scientifically based legal and organizational framework for their integrated and practical application in activities of law enforcement agencies. The article aims to assess how artificial intelligence may be applied and implemented in Russian Law Enforcement what may contribute to improving the efficiency of management of these bodies.
Methods: To solve this problem the author of the article employed following methodological framework: content analysis of research papers on the theme, survey methodology. The author himself creates a new model of the usage of artificial intelligence. For review the author has selected works from the journals which are indexed in Scopus and WoS. Regarding survey, 457 respondents were interviewed to assess those problems which exist in implementing artificial intelligence in law enforcement agencies.
Results: Respondents supported the use of modern information technologies, including various forms of artificial intelligence, for enhancing law enforcement activities. However, when prompted for specifics about certain technologies and their applications within individual agencies, responses varied. It was offered to use artificial intelligence in the following spheres: in processing of incoming cases and in protecting the private date stored by agencies. The author of the article proposes a new matrix representation of information using artificial intelligence which may contribute to better security of legal status documents.
Conclusion: Artificial Intelligence is the tool which may improve and enhance the activities of official agencies in various spheres. The details of that usage are to be thoroughly processed especially in the field of data security.
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DOI: http://dx.doi.org/10.21902/Revrima.v4i46.7268
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