1 code implementation • 29 Jul 2019 • Thilo Spinner, Udo Schlegel, Hanna Schäfer, Mennatallah El-Assady
We propose a framework for interactive and explainable machine learning that enables users to (1) understand machine learning models; (2) diagnose model limitations using different explainable AI methods; as well as (3) refine and optimize the models.
BIG-bench Machine Learning Explainable Artificial Intelligence (XAI)