{"id":2284,"date":"2024-10-29T15:33:11","date_gmt":"2024-10-29T12:33:11","guid":{"rendered":"https:\/\/eurasialaw-journal.ru\/?p=2284"},"modified":"2024-10-29T15:33:11","modified_gmt":"2024-10-29T12:33:11","slug":"strategies-for-countering-crimes-committed-with-malicious-use","status":"publish","type":"post","link":"https:\/\/eurasialaw-journal.ru\/en\/strategies-for-countering-crimes-committed-with-malicious-use.html","title":{"rendered":"STRATEGIES FOR COUNTERING CRIMES COMMITTED WITH MALICIOUS USE OF ARTIFICIAL INTELLIGENCE BY LAW ENFORCEMENT AGENCIES"},"content":{"rendered":"<h1>STRATEGIES FOR COUNTERING CRIMES COMMITTED WITH MALICIOUS USE OF ARTIFICIAL INTELLIGENCE BY LAW ENFORCEMENT AGENCIES<\/h1>\r\n<div class=\"doi-text\">\r\n<p><strong>\u2116 8 (195) 2024<\/strong><\/p>\r\n<p><strong>DOI 10.46320\/2073-4506-2024-8-195-298-301<\/strong><\/p>\r\n<p><strong>Pages 298-301<\/strong><\/p>\r\n<p><strong>SHMYATKOVA Natalya Viktorovna<\/strong><br \/>\r\npostgraduate student of the Irkutsk Institute (branch) of the All-Russian University of Justice (RLA of the Ministry of Justice of Russia)<\/p>\r\n<p><strong>SEREDA Irina Mikhaylovna<\/strong><br \/>\r\nPh.D. in Law, professor of Criminal law and criminology sub-faculty of the Irkutsk Institute (branch) of the All-Russian University of Justice (RLA of the Ministry of Justice of Russia)<\/p>\r\n<p><strong>STRATEGIES FOR COUNTERING CRIMES COMMITTED WITH MALICIOUS USE OF ARTIFICIAL INTELLIGENCE BY LAW ENFORCEMENT AGENCIES<\/strong><\/p>\r\n<p>Among the main tasks to achieve the goal of scientific and technological development of the state is the development of promising high technologies, including artificial intelligence. At the same time, the latter is used maliciously in committing crimes.<br \/>\r\nCounteraction to these acts is, first of all, provided by law enforcement agencies, whose activities must be clearly planned and coordinated.<br \/>\r\nThe authors of the article note that the organization of the work of these bodies when countering crimes committed using artificial intelligence needs to be improved. The article also analyzes the main areas of activity of law enforcement agencies that can be used during the preliminary investigation. It is proposed to create specialized databases developed at the state level with interdepartmental interaction, and their implementation in the activities of law enforcement agencies, which in the future will help to quickly identify and solve crimes committed using artificial intelligence.<\/p>\r\n<p><strong>Keywords:<\/strong> Internet network, information and telecommunication technologies; artificial intelligence; IT system; crime; opposition; law enforcement agencies.<\/p>\r\n<hr>\r\n<p><strong>\u2116 8 (195) 2024<\/strong><\/p>\r\n<p><strong>\u0421\u0442\u0440\u0430\u043d\u0438\u0446\u044b 298-301<\/strong><\/p>\r\n<p><strong>\u0428\u041c\u042f\u0422\u041a\u041e\u0412\u0410 \u041d\u0430\u0442\u0430\u043b\u044c\u044f \u0412\u0438\u043a\u0442\u043e\u0440\u043e\u0432\u043d\u0430<\/strong><br \/>\r\n\u0430\u0441\u043f\u0438\u0440\u0430\u043d\u0442 \u0418\u0440\u043a\u0443\u0442\u0441\u043a\u043e\u0433\u043e \u0438\u043d\u0441\u0442\u0438\u0442\u0443\u0442\u0430 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\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0442 \u043f\u0440\u0430\u0432\u043e\u043e\u0445\u0440\u0430\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u043e\u0440\u0433\u0430\u043d\u044b, \u0434\u0435\u044f\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0434\u043e\u043b\u0436\u043d\u0430 \u0431\u044b\u0442\u044c \u0447\u0435\u0442\u043a\u043e \u0441\u043f\u043b\u0430\u043d\u0438\u0440\u043e\u0432\u0430\u043d\u0430 \u0438 \u0441\u043a\u043e\u043e\u0440\u0434\u0438\u043d\u0438\u0440\u043e\u0432\u0430\u043d\u0430. <br \/>\r\n\u0410\u0432\u0442\u043e\u0440\u0430\u043c\u0438 \u0441\u0442\u0430\u0442\u044c\u0438 \u043e\u0442\u043c\u0435\u0447\u0430\u0435\u0442\u0441\u044f, \u0447\u0442\u043e \u043e\u0440\u0433\u0430\u043d\u0438\u0437\u0430\u0446\u0438\u044f \u0440\u0430\u0431\u043e\u0442\u044b \u044d\u0442\u0438\u0445 \u043e\u0440\u0433\u0430\u043d\u043e\u0432 \u043f\u0440\u0438 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-64 -19 0 -241 119 -326 174 -188 122 -406 314 -532 468 l-58 71 108 103 c185 178 428 349 672 473 66 33 121 60 123 61 2 0 -10 -19 -26 -42z\"\/><path d=\"M2375 1950 c-198 -44 -350 -190 -395 -379 -18 -76 -8 -221 19 -290 114 -284 457 -406 731 -260 98 52 188 154 231 260 27 69 37 214 19 290 -38 163 -166 304 -326 360 -67 23 -215 33 -279 19z\"\/><\/g><\/svg><\/i> &nbsp;566&nbsp;\u0412\u0421\u0415\u0413\u041e, &nbsp;1&nbsp;\u0421\u0415\u0413\u041e\u0414\u041d\u042f<\/p><div class=\"pvc_clear\"><\/div>","protected":false},"excerpt":{"rendered":"STRATEGIES FOR COUNTERING CRIMES COMMITTED WITH MALICIOUS USE OF ARTIFICIAL INTELLIGENCE BY LAW ENFORCEMENT AGENCIES \u2116 8 (195) 2024 DOI 10.46320\/2073-4506-2024-8-195-298-301 Pages 298-301 SHMYATKOVA Natalya Viktorovna postgraduate student of the Irkutsk Institute (branch) of the All-Russian University of Justice (RLA of the Ministry of Justice of Russia) SEREDA Irina Mikhaylovna Ph.D. in Law, professor of &#8230; <a title=\"STRATEGIES FOR COUNTERING CRIMES COMMITTED WITH MALICIOUS USE OF ARTIFICIAL INTELLIGENCE BY LAW ENFORCEMENT AGENCIES\" class=\"read-more\" href=\"https:\/\/eurasialaw-journal.ru\/en\/strategies-for-countering-crimes-committed-with-malicious-use.html\" aria-label=\"More on STRATEGIES FOR COUNTERING CRIMES COMMITTED WITH MALICIOUS USE OF ARTIFICIAL INTELLIGENCE BY LAW ENFORCEMENT AGENCIES\">Read more<\/a><div class=\"pvc_clear\"><\/div><p class=\"pvc_stats all \" data-element-id=\"2284\" style=\"\"><i class=\"pvc-stats-icon large\" aria-hidden=\"true\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" version=\"1.0\" viewBox=\"0 0 502 315\" preserveAspectRatio=\"xMidYMid meet\"><g transform=\"translate(0,332) scale(0.1,-0.1)\" fill=\"\" stroke=\"none\"><path d=\"M2394 3279 l-29 -30 -3 -207 c-2 -182 0 -211 15 -242 39 -76 157 -76 196 0 15 31 17 60 15 243 l-3 209 -33 29 c-26 23 -41 29 -80 29 -41 0 -53 -5 -78 -31z\"\/><path d=\"M3085 3251 c-45 -19 -58 -50 -96 -229 -47 -217 -49 -260 -13 -295 52 -53 146 -42 177 20 16 31 87 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