In the literature of mitigating unfairness in machine learning, many fairness measures are designed to evaluate predictions learning models and also utilised guide training fair models. It has been theoretically empirically shown that there exist conflicts inconsistencies among accuracy multiple measures. Optimising one or several may sacrifice deteriorate other Two key questions should be cons...

How does economic inequality affect political support in democracies? Recent research shows that high levels of inequality are associated with low levels of support for and satisfaction with democracy, yet our understanding of this relationship remains incomplete. I argue that people become politically dissatisfied when they view inequality through a lens of distributive unfairness— i.e., unfai...