Trustworthiness of AI systems

With more and more AI systems being deployed in practice, there is an increased need for the trustworthiness of these systems, especially in critical domains like medicine. Explainability has long been a topic of research in AI Lab, driving the ideas behind argument based machine learning developed in the lab. Currently, we are exploring the place of explainability and certainty estimation within a EU project on the use case of breast cancer screening.