Fairness guarantee in multi-class classification

Understand

Algorithmic Fairness is an established area of machine learning, willing to reduce the influence of hidden bias in the data.

• Yet, despite its wide range of applications, very few works consider the multi-class classification setting from the fairness perspective.
• We focus on this question and extend the definition of approximate fairness in the case of Demographic Parity to multi-class classification.
• We specify the corresponding expressions of the optimal fair classifiers.