Project iML interactive Machine Learning with the Human-in-the-Loop
In this project we follow the HCI-KDD approach, i.e. with the human expert in the machine learning loop and opening the black box to a glass box!
FWF Project Reference Model of Explainable AI for the Medical Domain
The FWF project P-32554 "A reference model of explainable Artificial Intelligence for the Medical Domain" will provide important contributions to the international machine learning community, i.e. develop a library of explanatory patterns and a novel grammar how these can be combined, and will define criteria/benchmarks for explainability and principles to measure effectiveness of explainability and interpretability guidelines in mapping human understanding with machine explanations and deploying an open explanatory framework along with a set of benchmarks and open data to stimulate and inspire further research in transparent machine learning.