On the Interplay between Human Label Variation and Model Fairness

Kemal Kurniawan, Meladel Mistica, Timothy Baldwin, Jey Han Lau

Abstract: The impact of human label variation (HLV) on model fairness is an unexplored topic. This paper examines the interplay by comparing training on majority-vote labels with a range of HLV methods. Our experiments show that without explicit debiasing, HLV training methods have a positive impact on fairness.