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Fair Machine Learning

by Paul-Louis Pröve

Machine learning systems and artificial intelligence today make many decisions that affect us in our daily lives. It is therefore of great importance that these decisions are made fairly and fairly.

With this expectation, however, the implementation is anything but trivial. In order to shed some light on the darkness here, we gave an introduction to the topic of "Fair Machine Learning" as part of a presentation at the Hamburg Center for Artificial Intelligence. We provide the slides of the presentation here.

If you have any further questions about FairML, please do not hesitate to contact us.

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