Automated systems of support and decision making (ASDS), using knowledge bases, containing expert opinions of leading specialists in a certain type of expertise, can render great assistance in decision-making. Such intellectualized systems can be effective, in particular, in the work of a criminal investigator and conduct forensic examinations. A criminal expert is obliged not only to report his conclusion, he must justify it and at the same time, so that the investigator or the court could understand and assess whether this conclusion is correct. In order to address issues related to the improvement of forensic analysis, it is necessary to have, above all, appropriate information support. The following paper offered a number of specialized applied problems in the field of technical diagnostics, the received results can be used for intellectual support of a substantiation and decision-making also concerning questions of investigation of separate kinds of crimes or carrying out of other kinds of forensic analyses.

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The author examines the use of modeling in the verification of a suspect’s and a defendant’s alibis. In the conditions of digitization, there are wide prospects for the use of such a method. Alibi verification can be viewed as a special case of the criminalistic reconstruction of the event of the crime, and the modeling method is morphologically included in the process of reconstructing the investigated event or its part. Flowcharts are designed with the use of the working systems of alibi verification proposed by the author, they reflect forensically relevant features of the investigated object that should be selected from the flow of information as information blocks and properly organized. Information blocks are interconnected and correlate with each other. The more content each block contains, the more accurate the result produced by the constructed model will be. The author concludes that modeling should result in building an adequate model of an episode of the criminal event under investigation that will reflect data on the “history” of the alibi and will make it possible to predict its variants.

The paper examines the technological basis and opportunities for the use of artificial intelligence systems in law enforcement. The authors describe the investigation methods and the essence of artificial intelligence, and conduct a detailed study of approaches to the taxonomy of its systems. Artificial intelligence today does not only make it possible to solve specific tasks, but also approaches human cognition in its functions. In the present legal environment, programming and automation of crime investigation and solving are used to create information and reference systems, as well as databases and criminalistic algorithms that optimize, for example, the process of developing and verifying criminalistic leads, planning an investigation, supporting the maintenance of order, searching for the culprit, etc. The authors define key features of artificial neural networks viewed as one of the main methods of using artificial intelligence systems in law enforcement, specifically, situational adaptive learning, ability to identify non-obvious links and regularities. The designing of an applied artificial neural network is examined stage-by-stage. At the first stage, a dataset is collected - it is a volume of data for training the network. At the second stage, an algorithm (a set of rules) for learning is selected or designed. After that comes the process of learning and validating its results. The authors analyze the criteria for evaluating the effectiveness of training an artificial intelligence system, including the criteria of precision and accuracy. They single out three key types of operations in the sphere of law enforcement that can be performed by artificial intelligence systems: identification (of visual images and links between the objects of criminalistic study), prediction and classification.

In the process of comprehending the prospects for the artificial intelligence development, the authors come to a conclusion that in the scientific learning of the world the problematic issues of the artificial intelligence are connected with problematic issues of recognizing the artificial intelligence systems and ordinary human thinking The article performs an analysis of the concepts of «intelligence» and «artificial intelligence», in the process of which the intelligence is viewed through a systematic approach in its broad sense. The purpose of the article is to present a number of conclusions about the levels of development of scientific studies of the problems under investigation, is there any reason to argue that attempts to implement the epistemological characteristics of thinking in modern artificial intelligence systems have not only been undertaken but also successful, and whether is it possible to talk about full transfer of the intellectual functions to the technical systems, endowing them with epistemological tools (in the context of the discussion about strong and weak versions of the artificial intelligence). The authors study the concept of «phenomenology of intelligence», the perception of intelligence in various historical eras by famous philosophers and scientists of other branches of knowledge; they identify the artificial intelligence as a special branch of science, analyze the existing problems in this field. In writing the article, they use the system approach, the theoretical analysis of and generalization of the scientific information, the historical, predicted, critical and dialectical methods of investigation.