Explainable AI Methods – A brief overview (open access)
open access paper available – free to the international research community
Ben Shneiderman fosters Human-Centered AI
Ben Shneiderman fosters human-centered ai
FWF Explainable AI project P 32554 in the News
This basic research project will contribute novel results, algorithms and tools to the international ai and machine learning community
Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI
Our paper Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI has been published on 27 January 2021 in the Journal Information Fusion, Q1, IF=13,669, rank 2/137 in the field of Computer Science, Artificial Intelligence:
https://doi.org/10.1016/j.inffus.2021.01.008
We are grateful for the valuable comments of the anonymous reviewers. Parts of this work have received funding from the EU Project FeatureCloud. The FeatureCloud project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 826078. This publication reflects only the author’s view and the European Commission is not responsible for any use that may be made of the information it contains. Parts of this work have been funded by the Austrian Science Fund (FWF) , Project: P-32554 “explainable Artificial Intelligence”.
Measuring the Quality of Explanations just exceeded 5k downloads
In this paper we introduce our System Causability Scale to measure the quality of explanations. It is based on our notion of Causability (Holzinger et al. in Wiley Interdiscip Rev Data Min Knowl Discov 9(4), 2019) combined with concepts adapted from a widely-accepted usability scale.
Kandinsky Challenge: IQ-Test for Machines is online!
The Human-Centered AI Lab (HCAI) invites the international machine learning community to a challenge on explainable AI and towards IQ-Tests for machines
Lecture Notes in Artificial Intelligence LNAI 9605 just exceeded 80,000 downloads
Springer Lecture Notes in Artificial Intelligence LNAI 9605 Machine Learning for Health Informatics exceeded 80,000 downloads