Andreas Holzinger

Andreas Holzinger pioneered in interactive machine learning with the human-in-the-loop. For his achievements he was elected a member of Academia Europaea in 2019, the European Academy of Science, the European Laboratory for Learning and Intelligent Systems (ELLIS) in 2020, and Fellow of the international federation of information processing (ifip) in 2021. The use of Artificial Intelligence (AI) in domains that impact human life (agriculture, climate, forestry, health, …) has led to an increased demand for trustworthy AI. Consequently, Andreas Holzinger is working together with his group on generic methods to promote robustness and explainability to foster secure AI solutions and advocates a synergistic approach to Human-Centered AI to provide human control over AI and to align AI with human values, ethical principles, and legal requirements to ensure privacy, security, and safety. Andreas’ aim is to explain why a machine decision has been made, paving the way towards explainable AI and Causability ultimately fostering ethical responsible machine learning and trust and acceptance for AI. 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 2019 Andreas is Visiting Professor for explainable AI, Alberta Machine Intelligence Institute, University of Alberta, Canada. Andreas Holzinger has been appointed full professor for digital transformation at the University of Natural Resources and Life Sciences Vienna with effect from 1 March 2022.