employee from 01.01.2008 to 01.01.2025
Volgograd Academy of Ministry of Internal Affairs of Russia (kafedra issledovaniya dokumentov uchebno-nauchnogo kompleksa ekspertno-kriminalisticheskoy deyatel'nosti, zamestitel' nachal'nika kafedry)
employee from 01.01.2008 to 01.01.2025
Volgograd, Volgograd, Russian Federation
CSCSTI 10.85
The article is devoted to one of the promising areas of using artificial intelligence (AI) in forensic handwriting examination – creating AI-based software constructors designed for drafting expert conclusions and preparing illustrative materials. The article provides a detailed analysis of the advantages of automating this stage of forensic handwriting research. On the one hand, software constructors will be able to provide flexibility, allowing all features of the methodology to be taken into account based on the specifics of a particular expert situation. On the other hand, the presence of a certain algorithm standardizes the approach to conducting forensic handwriting examinations. The use of such programs will help avoid typical errors such as skipping some mandatory stages, incomplete investigation of diagnostic and identification signs, application of outdated methods, which in turn will contribute to improving the quality and accuracy of expert opinions. Using the example of handwriting expertise, an approximate functionality of a neural network program is demonstrated, including various blocks, starting from entering setup data about the initiator of the study, the expert, the circumstances of the case, describing the characteristics of handwritten execution of the disputed object, characteristics of diagnostic (including various specific symptom complexes) and identification signs of handwriting, a list of criteria for assessing the sufficiency in terms of quantity and quality of comparative samples, and ending with choosing the type of conclusion being formed, processing images in the illustration table, and outputting markings of all individual signs taken as the basis for the conclusion, importing data about their numbering into the research part of the expert's report. Implementation of these solutions will enable maintaining a high level of qualification of handwriting experts by constantly updating the databases available in the program with up-to-date libraries, information systems, and other software products and tools used in the activities of the Ministry of Internal Affairs of Russia departments. A thoroughly developed software constructor for drawing up expert conclusions can become a multifunctional and adaptive tool for enhancing the efficiency of forensic-science activity.
forensic handwriting examination, automation of expert opinion preparation, artificial intelligence, development prospects
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