Predictive Policing: High-tech Modeling as a Method to Identify Serial Killers
https://doi.org/10.17803/2713-0525.2022.2.20.329-342
Abstract
The article considers the development of predictive policing in Russia through the creation of software, based on the use of artificial intelligence (AI) to identify serial killers. Forensic modelling in crime investigation, in particular modern digital twin technology is analyzed. The system of the digital twin is trained on the basis of a set of mathematical models of various level of complexity and specified by results of full-scale experiments. Existing approaches to solving the serial killer portrait problem are investigated. Digital twins in conjunction with machine learning can predict the behavior of the object under study in the future, based on statistical data and accelerate the work of the investigator in the investigation of serial crimes.
About the Authors
L. V. Bertovskiy
Lomonosov Moscow State University
Russian Federation
Russian Federation
Lev V. Bertovskiy - Dr. Sci. (Law), Professor, Lomonosov Moscow State University; National Research University of Electronic Technology (MIET).
1 stroenie 13 Leninskiye Gory, Moscow 119991.
M. S. Novogonskaya
Lomonosov Moscow State University
Russian Federation
Russian Federation
Margarita S. Novogonskaya - Postgraduate student, Lomonosov Moscow State University.
1 stroenie 13 Leninskiye Gory, Moscow 119991.
A. R. Fedorov
National Research University of Electronic Technology (MIET)
Russian Federation
Russian Federation
Alexey R. Fedorov - Cand. Sci. (Technical Studies), Associate Professor, National Research University of Electronic Technology (MIET).
1 ploshchad Shokina, Zelenograd, Moscow 124498.
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Review
For citations:
Bertovskiy L.V., Novogonskaya M.S., Fedorov A.R. Predictive Policing: High-tech Modeling as a Method to Identify Serial Killers. Kutafin Law Review. 2022;9(2):329-342. https://doi.org/10.17803/2713-0525.2022.2.20.329-342
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