PI: Andreas Holzinger
Focus: Artificial intelligence has been remarkably successful due to advances in statistical machine learning, even surpassing human performance in certain tasks in medicine. However, the complexity of such approaches often makes it impossible to understand why an algorithm arrived at a particular result. The focus of our research is on comprehensibility and thus interpretability. This is where a human-in-the-loop can be helpful, because human experts can contribute experience, contextual understanding, implicit and conceptual knowledge.
Cooperation: The Research Team Holzinger cooperates intern with the Diagnostic and Research Institute of Forensic Medicine and international with the xAI-Lab of the Alberta Machine Intelligence Institute, Edmonton, the Life Sciences Discovery Center Toronto in Canada, and with the Human-Centered AI Lab at the University of Technology, Sydney, Australia.