https://human-centered.ai/wordpress/wp-content/uploads/2019/10/openqkd_logo.png482636Andreas Holzingerhttps://human-centered.ai/wordpress/wp-content/uploads/2019/09/hcai.pngAndreas Holzinger2019-10-01 11:44:012019-10-02 08:34:38Successfully started the H2020 openQKD project
The Human-Centered AI Lab (HCAI) invites the international machine learning community to a challenge on explainable AI and towards IQ-Tests for machines
https://human-centered.ai/wordpress/wp-content/uploads/2019/07/university-of-alberta-holzinger-visit.png225224Andreas Holzingerhttps://human-centered.ai/wordpress/wp-content/uploads/2019/09/hcai.pngAndreas Holzinger2019-07-28 17:21:422019-08-20 20:28:18Talk on Explainable AI
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,
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!
https://human-centered.ai/wordpress/wp-content/uploads/2019/01/causability-research.png9881500Andreas Holzingerhttps://human-centered.ai/wordpress/wp-content/uploads/2019/09/hcai.pngAndreas Holzinger2019-04-04 10:10:012019-04-04 11:13:45Explainability vs. Causability of Artificial Intelligence in Medicine
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!
https://human-centered.ai/wordpress/wp-content/uploads/2019/03/worst-case-behaviour.jpg175183Andreas Holzingerhttps://human-centered.ai/wordpress/wp-content/uploads/2019/09/hcai.pngAndreas Holzinger2019-03-24 14:53:442019-04-04 11:05:39The need for deep understanding of algorithms
Successfully started the H2020 openQKD project
/in Projects /by Andreas HolzingerThis project will create an openQKD testbed for quantum communication which is highly relevant for future AI and machine learning
Kandinsky Challenge: IQ-Test for Machines is online!
/in experiments, HCAI success /by Andreas HolzingerThe 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
/in General, HCAI success /by Andreas HolzingerSpringer Lecture Notes in Artificial Intelligence LNAI 9605 Machine Learning for Health Informatics exceeded 80,000 downloads
Talk on Explainable AI
/in General /by Andreas HolzingerAndreas Holzinger provided a talk on 26.07.2019 in Edmonton for the faculty members of the University of Alberta Computing Science Faculty
6th June 2019, 10:00 – 16:00 Graz/Austria Symposium AI/Machine Learning for Digital Pathology
/in Conferences, HCAI-event /by Andreas HolzingerOn 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
/in Conferences /by Andreas HolzingerFirst 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?
/in Explainability, Recent Publications /by Andreas HolzingerEffective (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 Recent Publications, Science News /by Andreas HolzingerIn 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
/in Explainability, Science News /by Andreas HolzingerThere 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!
Caution to seemingly “Intelligent” Clever Hans Behaviour
/in Recent Publications, Science News /by Andreas Holzinger