Model of a domain-specific profiling system based on Explainable AI technologies

Abstract

The article offers a system model of intelligent profiling system that opens up opportunities for both staff selection and effective training and rotation of existing employees of the organization. To implement this paradigm, state registers of open information resources are defined and created. From the point of view of science, the system model corresponds to the structure of the expert system of explainable artificial intelligence (XAI), which has the task of forming many solutions. The task is set to provide validation and verification of the models taking into account the uncertainty. The tool to improve this approach is a software analytical complex, the development and implementation of which will allow to search and effective analysis of data, forming indicators for their subsequent use in decision-making in the management of organization processes. Presentation of knowledge about the subject area under study in the form of system model allows applying formal logical rules, graphoanalytic metalanguage and rules for development and design of program analytical complexes.