Towards Semantic Description of Explainable Machine Learning Workflows

Machine learning (ML) has outperformed humans in many areas, and that is why it has been adopted by a large variety of applications, such as computer vision, speech recognition, and robotics. However, their functioning and the reason why they generated specific results usually are not clear to the user, being often considered as black-boxes. Explainable Artificial Intelligence (XAI) aims to make A...