Explainable Artificial Intelligence

Explainable Artificial Intelligence

The field of explainable artificial intelligence (XAI) aims to explain a deep neural model to a human user in a comprehensible way. This is essential to gain trust in the model when applying it to safety critical domains, such as, autonomous driving or medical imaging. Our group focuses mainly on XAI for computer vision with works on evaluating XAI methods and intrinsically more explainable models.

Recent Publications

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Experts

  Name Contact
W
Paul Wagner M.Sc.
+49 6151 16-21424
S2|02 A307
Robin Hesse M.Sc.
+49 6151 16-21423
S2|02 A302
Prof. Dr. Sc. Simone Schaub-Meyer
+49 6151 16-25411
S2|02 A306
Prof. Stefan Roth, Ph.D.
+49 6151 16-21425
S2|02 A304