Fairness in ML models can lead to counterintuitive predictions.
problem Enforcing fairness in machine learning models leads to unexpected outcomes.
method Introducing slack-consistency as a desirable property for fairness procedures.
result Standard fairness methods violate the property of monotonicity with respect to slack.