Explainable artificial intelligence

Explainable Artificial Intelligence (XAI) refers to the methods and techniques used in AI applications that enable the results of the solutions to be understood by humans. Unlike the "black box" concept in machine learning, XAI aims to reveal the rationale behind decisions, confirm existing knowledge, challenge preconceptions, and generate new hypotheses. By increasing transparency and explainability, XAI not only helps meet legal and societal demands for explanations but also enhances users' trust and satisfaction with the product, improving user experience.