What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study

Beatrice Savoldi, Sara Papi, Matteo Negri +2

Gender bias in machine translation (MT) is recognized as an issue that can harm people and society. And yet, advancements in the field rarely involve people, the final MT users, or…