What Is Fairness? Implications For FairML. (arXiv:2205.09622v1 [cs.LG])

A growing body of literature in fairness-aware ML (fairML) aspires to
mitigate machine learning (ML)-related unfairness in automated decision making
(ADM) by defining metrics that measure fairness of an ML model and by proposing
methods that ensure that trained ML models achieve low values in those
measures. However, the underlying concept of fairness, i.e., the question of
what fairness is, is rarely discussed, leaving a considerable gap between
centuries of philosophical discussion and recent adoption of the concept in the …

arxiv fairness