In this cross-disciplinary workshop we aim to bring together international experts cross-domain, interested in making machine decisions transparent, interpretable, transparent, reproducible, replicable, re-traceable, re-enactive, comprehensible, explainable towards ethical-responsible AI/machine learning.
All submissions will be peer reviewed by three members of our international scientific comittee. Accepted papers will be presented at the workshop orally or as poster and published in the IFIP CD-MAKE Volume of Springer Lecture Notes (LNCS), see LNCS 11015 as example.