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Johannes Nagele

Johannes Nagele

Dr Johannes Nagele is a Senior Data Scientist at Alexander Thamm GmbH. As a scientist in the field of physics and computational neuroscience, he gained 10 years of experience in statistics, data evaluation and artificial intelligence with a focus on time series analysis and unsupervised learning. Dr Johannes Nagele is the author of several scientific publications and conference posters. Since the beginning of 2020, he has been supporting Alexander Thamm GmbH in the area of Data Science.

Explainable AI - Methods for explaining AI models

Explainable AI (XAI) is currently one of the most discussed topics in the field of AI. Developments such as the European Union's AI Act, which makes explainability a mandatory property of AI models in critical domains, have brought XAI into the focus of many companies developing or applying AI models. As this now applies to a large part of the economy, the demand for methods that can describe the decisions of models in a comprehensible way has increased immensely.

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