The socio-psychological aspect of personality identification. Habitology in public administration

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Introduction: the article discusses the advantages and disadvantages of the methods used for identifying individuals, analyzes domestic, American and Chinese models of criminological prevention of various deviations, identifies organizational, socio-psychological and regulatory contradictions in the use of artificial intelligence in identifying individuals, and announces the use of updated ideas of complex anthropometric identification by Alphonse Bertillon in forensic habitology. Materials and Methods: the work uses a combination of General scientific (analysis, synthesis, analogy, extrapolation), private scientific (sociological, formal legal, comparative legal) and specific scientific (expert assessment, verification, compilation of logical chains) research methods. Results: the analysis of the possibilities of using artificial intelligence in creating models for the prevention and prevention of various offenses is carried out. The prospects of the method of social regulation based on the use of telecommunications systems in the fight against crime are outlined. The article presents a material on complex tracking of citizens used in China in the format of the social advance method. Socio-legal, organizational and technical problems in the use of artificial intelligence in the identification of a person are revealed. Recommendations have been developed for the introduction of such specialization as «complex anthropometry», which will allow evaluating and presenting to the court synthetic information provided by data banks. Discussions and Conclusions: the article substantiates the need for a comprehensive approach to the issue of personal identification, since the use of new technologies of habitology will not only identify criminals and prevent crimes, but also affect the development of society as a whole.

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Habitology, personal identification, video surveillance, forensic accounting, biometric data, social regulation

Короткий адрес: https://sciup.org/142225429

IDR: 142225429   |   DOI: 10.37973/KUI.2020.34.12.023

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