ПРОЄКТ СИСТЕМИ СИНТЕЗУ ПОЯСНЕННИХ ВЕРБАЛЬНИХ МОДЕЛЕЙ ШТУЧНОГО ІНТЕЛЕКТУ

Verbal Decision Analysis is an effective tool that can improve Explainable Artificial Intelligence (XAI) by providing verbal explanations of machine learning models and reasoning using words, text, or natural language. Synthesis of explainable verbal AI models involves four main stages: formation of a system of concepts in a particular subject area; formation of an ordinal classification of object/process states; ordering of object/process states from a particular class; determination of the best state of an object/process. By integrating elements of verbal analysis into XAI models, it is possible to improve user interaction, understanding, and perception of AI systems.