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

Talk on Explainable AI

Andreas Holzinger provided a talk on 26.07.2019 in Edmonton for the faculty members of the University of Alberta Computing Science Faculty

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

6th June 2019, 10:00 – 16:00 Graz/Austria Symposium AI/Machine Learning for Digital Pathology

On June, 6, 2019, 10:00-16:00 we organize in Graz/Austria a small Symposium on AI/Machine Learning for Digital Pathology

First Austrian IFIP-Forum “AI and future society: The third wave of AI” (May, 8-9, 2019) , Vienna

First Austrian IFIP Forum “AI and future society: The third wave of AI, which takes place on Wednesday, May 8th – Thursday, May 9th 2019 in 1030 Vienna, Radetzkystraße 2, Festsaal of the BMVIT,

Causability is important. Why?

Effective (future) Human-AI interaction must take into account a context specific mapping between explainable-AI and human understanding.

Explainability vs. Causability of Artificial Intelligence in Medicine

In our recent paper we define the notion of causability, which is different from explainability in that causability is a property of a person, while explainability is a property of a system!

The need for deep understanding of algorithms

There are many different machine learning algorithms for a certain problem, but which one to chose for solving a practical problem? The comparison of learning algorithms is very difficult and is highly dependent of the quality of the data!