In-Processing

Any operation or set of operations performed on personal data, whether or not by automated means

Techniques that try to modify and change state-of-the-art learning algorithms to remove discrimination during the model training process.

Techniques that modify the algorithms in order to mitigate bias during model training. Model training processes could incorporate changes to the objective (cost) function or impose a new optimization constraint.