Science is to test crazy ideas, Engineering is to put these ideas into Business:
The Holzinger Group HCI-KDD promotes an synergistic approach of two areas towards understanding intelligence: Human-Computer Interaction (HCI) & Knowledge Discovery/Data Mining (KDD). The goal is to augment human intelligence with artificial intelligence. The Holzinger Group has pioneered in interactive machine learning (iML) with the human-in-the-loop. Raising legal issues in the European Union (General Data Protection Regulation) make glass box approaches important, i.e. to be able to make decisions transparent, re-traceable thus understandable, to explain why a machine decision has been made – towards explainable-ai.
- Today the problem are heterogeneous, probabilistic, and complex data sets in arbitrarily high dimensions. The challenge of machine learning is to learn from prior data, to extract knowledge, to generalize, to make predictions, and to help to make decisions under uncertainty (see > Research statement).
- This needs an international concerted effort (see > Expert network) and education of a new kind of graduates (see > Teaching statement). Cross-domain approaches foster serendipity, cross-fertilize methodologies and insights, and ultimately transfer ideas into Business for the benefit of humans (see > Conference CD-MAKE).