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On the importance of explainability/ Andreas Holzinger

Artificial Intelligence has recently made great progress in many different applications including face recognition and image classification. In many areas of expertise these AIs even exceed human performances. Something they however fail to do is answer one simple question: why? Why does an AI what it does, what is the underlying reasoning behind its decisions? Explainability poses an important cahllenge especially whenn fields like medicine and law are concerned. New regulations would require future AI to explain itself.

Watch Andreas Holzinger step in for daughter Katharina representing SBA at the 2018 AI Congress: