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2018 HOLZINGER Machine Learning Research Topics

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Published on Sep 12, 2018

Andreas Holzinger promotes a synergistic approach by integration of two areas to understand intelligence to realize context-adaptive systems: Human-Computer Interaction (HCI) & Knowledge Discovery/Data Mining (KDD). Andreas has pioneered in interactive machine learning (iML) with the human-in-the-loop. Andreas Holzingers’ goal is to augment human intelligence with artificial intelligence to help to solve problems in health informatics.

Due to raising legal and privacy issues in the European Union glass box AI approaches will become important in the future to be able to make decisions transparent, re-traceable, thus understandable. Andreas Holzingers’ aim is to explain why a machine decision has been made, paving the way towards explainable AI.

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