“Augmenting human intelligence with artificial intelligence”
Assoc.Prof. Dr. Andreas HOLZINGER
PhD, MSc, MPh, BEng, CEng, DipEd, MBCS, MAE
Institute for Medical Informatics, Statistics & Documentation
Medical University Graz, Austria
Institute of Interactive Systems and Data Science
Graz University of Technology, Austria
XAI-Lab, Alberta Machine Intelligence Insitute (amii)
University of Alberta, Edmonton, Canada
Andreas Holzinger works on data driven Artificial Intelligence (AI) and machine learning (ML) motivated by efforts to improve human health. Andreas pioneered in interactive ML with the human-in-the-loop, paving the way towards explainability and causability. Andreas promotes a synergistic approach of Human-Centered AI (HCAI) to put the human-in-control of AI to align it with human values, privacy, security and safety.
NEW projects – We are hiring – please look up: https://human-centered.ai/open-positions/
Due to raising ethical, social and legal issues governed by the European Union, future AI supported systems must be made transparent, re-traceable, thus human interpretable. Andreas’ aim is to explain why a machine decision has been reached, paving the way from explainable AI to Causability, ultimately fostering ethical responsible machine learning, fairness, trust and acceptance for future robust AI. This is relevant for the application in medicine and important for the adoption of human-centered AI in industry.
Andreas obtained a Ph.D. in Cognitive Science from Graz University in 1998 and his Habilitation (second Ph.D.) in Computer Science from Graz University of Technology in 2003. Andreas was Visiting Professor for Machine Learning & Knowledge Extraction in Verona, RWTH Aachen, University College London and Middlesex University London. Since 2016 Andreas is Visiting Professor for Machine Learning in Health Informatics at the Faculty of Informatics at Vienna University of Technology. Since 2019, Andreas is Visiting Professor for explainable AI, Alberta Machine Intelligence Institute, University of Alberta, Canada. Andreas Holzinger was elected a full member of the Academia Europea – the European Academy of Sciences in 2019 in the section informatics.
Andreas is lead of the Holzinger Group (Human-Centered AI Lab, HCAI), Institute for Medical Informatics/Statistics at the Medical University Graz, and Associate Professor (Univ.-Doz., UG 93) of Applied Computer Science at the Faculty of Computer Science and Biomedical Engineering at Graz University of Technology. He 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.
Since 2003 Andreas has participated in leading positions in 30+ R&D multi-national projects, budget 6+ MEUR, 300+ publications, 13k+ citations, H-Index = 55.
Human-Centered AI needs a concerted effort of various experts working jointly together. Andreas founded the Expert Network HCI-KDD in 2011 to foster a synergistic combination of methodologies of two areas that offer ideal conditions toward unraveling problems in understanding intelligence, enabling context-aware AI systems: Human-Computer Interaction (HCI) & Knowledge Discovery from Data (KDD), with the goal of augmenting human intelligence with artificial intelligence.
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).
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