Trustworthy AI: A long way towards reliable and robust machine learning | AI FOR GOOD DISCOVERY

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There has been substantial progress in the area of robust and reliable machine learning but there is still a long way to go. This talk provides an overview of work in the area of out-of-distribution detection and adversarial robustness. It will discuss potential ways forward also with regard to regulatory processes for safety-critical applications.

Speaker:
Matthias Hein
Bosch endowed Professor of Machine Learning
University of Tübingen

Moderator:
Wojciech Samek
Head of Department of Artificial Intelligence
Fraunhofer Heinrich Hertz Institute


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