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, understandable and re-traceable – and 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).

Current Projects

machine learning knowledge extraction digital pathology

Contact

Assoc. Prof. Dr. Andreas Holzinger

Head of Research Unit HCI-KDD
Institute for Medical Informatics, Statistics and Documentation

Medical University Graz
Auenbruggerplatz 2/V
A-8036 Graz, Austria

Phone: +43 316 385 13883
Fax: +43 316 385 13590
E-Mail: a.holzinger@hci-kdd.org
Web: http://hci-kdd.org
Youtube Channel: https://goo.gl/XGwOmt