Explainable AI 2020
In this cross-disciplinary workshop we aim to bring together
international cross-domain experts interested in artificial
intelligence/machine learning to stimulate research, engineering and evaluation in and for explainable AI
– towards making machine decisions transparent, re-enactive,
comprehensible, interpretable, thus explainable, re-traceable and
reproducible – towards causality research, one of the cornerstone of
scientific research per se.
In-line with the general theme of the ifip CD-MAKE (Cross Domain Machine Learning and Knowledge Extraction) conference of augmenting human intelligence with artificial intelligence, and Science is to test crazy ideas – Engineering is to bring these ideas into Business
– we support cross-disciplinary work in order to
bring together experts from computer science with different fields, e.g.
psychology, sociology, philosophy, law, business, … experts who would
otherwise possibly not meet together. This cross-domain integration and
appraisal of different fields of science and industry shall provide an
atmosphere to foster different perspectives and opinions; it will offer a
platform for novel crazy ideas and a fresh look on the methodologies to
put these ideas into business.