Andreas Holzinger obtained a Ph.D. in Cognitive Science from Graz University in 1998, and his second Ph.D. in Computer Science from Graz University of Technology in 2003. Andreas was Visiting Professor for Machine Learning & Knowledge Extraction in Verona (Italy), RWTH Aachen (Germany), University College London and Middlesex University London (UK). Since 2016 Andreas is Visiting Professor for Machine Learning in Health Informatics at the Faculty of Informatics at Vienna University of Technology.
AI has become remarkably successful due to successes in statistical machine learning, and even outperforms humans at certain tasks. Humans, however, are sometimes excellent at multimodal reasoning and can embed new information into a conceptual knowledge space shaped by indiviudal experience and prior knowledge. Andreas Holzinger’s vision is to create systems that are able to explain themselves by, for example, engaging a human expert in interactive counterfactual “what if” questions. Andreas Holzinger’s guiding principle is that using conceptual knowledge as a guiding model of reality can help train more robust, interpretable, and less biased machine learning models that can ideally learn from less data.
In 2011, Andreas Holzinger founded the international research network HCI-KDD. Its goal was to bring together two complementary fields cross domain and to organize annual workshops. This promoted a synergetic combination of methods and approaches from two domains that offer ideal conditions for the development of novel Human-Centered AI approaches: Human-Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD). In 2017, these HCI-KDD workshops were transformed into the now established xAI workshops. These are part of the annual IFIP Cross-Domain Machine Learning and Knowledge Extraction (CD-MAKE) conference, co-founded by Andreas Holzinger.
Currently, Andreas serves as Co-Editor of the Special Issue on Advances in Explainable Artificial Intelligence (XAI) and Responsible Artificial Intelligence (RAI) in Elsevier Information Fusion (INFFUS) which is now on rank 2 of 136 journals in the field of Artificial Intelligence (AI) and Co-Editor of the Special Issue on Explainable Artificial Intelligence in Elsevier Artificial Intelligence (ARTINT), which is on rank 14/136 in the field of Artificial Intelligence. Andreas is Associate Editor of Springer/Nature Knowledge and Information Systems (KAIS), Section Editor for Machine Learning of Springer/Nature BMC Medical Informatics and Decision Making (MIDM), and founding Editor-in-Chief of the cross-disciplinary journal Machine Learning & Knowledge Extraction (MAKE). He is organizer of the IFIP Cross-Domain Conference “Machine Learning & Knowledge Extraction (CD-MAKE)” and Austrian representative in the IFIP TC 12 Artificial Intelligence and member of IFIP WG 12.9 Computational Intelligence, the ACM, IEEE, GI, the Austrian Computer Science and the Association for the Advancement of Artificial Intelligence (AAAI).
Andreas Holzinger serves as consultant for the Canadian, US, UK, Swiss, French, Italian and Dutch governments, for the German Excellence Initiative, and as national expert in the European Commission. His is in the advisory board of the Artificial Intelligence Strategy AI made in Germany of the German Federal Government and in the advisory board of the Artificial Intelligence Mission Austria 2030.