Artificial Intelligence as a Forensic Tool

Abstract

Artificial intelligence technologies are increasingly becoming part of the life processes of the population in the leading countries of the world. Despite the shortcomings of its application, which are associated with the lack of transparency of internal mechanisms, it is a new and effective way to solve management and decision-making problems. Artificial intelligence technologies are particularly affected by forensic examinations, because they allow you to simplify a number of tasks for solving issues that are posed to a forensic expert during their conduct. Currently, an example of the application of artificial intelligence in forensics is the Spanish program Skeleton-ID, which allows for personal identification based on the human skeleton. This software recognizes a person using physical anthropology methods, including craniofacial superposition, face comparison, biological profiling, and comparative radiography. Forensic anthropological examination is a new type of forensic research that is especially relevant in Ukraine for the needs of identifying bodies that suffered during the war. The conclusion of a forensic expert is equivalent to evidence in court, so the process of its preparation by a specialist is a labor-intensive process that can be partially automated in terms of technological correlation of information on a person requiring identification. In international practice, artificial intelligence technologies are already successfully used during certain stages of the investigation, in particular in the process of analyzing the seriality of criminal offenses, analyzing various conditions for committing crimes and information from social networks. Thus, for Ukraine, the issue of applying artificial intelligence in forensic examination remains innovative due to the lack of practical experience over the past decade. In addition, artificial intelligence has prospects for development in the field of law in terms of ensuring justice through forensic research. Such technologies create an analytical and instrumental basis for operational decision-making in conditions of limited time.