AI RESEARCH

NLP needs Diversity outside of 'Diversity'

arXiv CS.CL

ArXi:2604.14595v1 Announce Type: new This position paper argues that recent progress with diversity in NLP is disproportionately concentrated on a small number of areas surrounding fairness. We further argue that this is the result of a number of incentives, biases, and barriers which come together to disenfranchise marginalized researchers in non-fairness fields, or to move them into fairness-related fields.