Re-contextualizing Fairness in NLP: The Case of India. (arXiv:2209.12226v3 [cs.CL] UPDATED)

Recent research has revealed undesirable bi-ases in NLP data and models.
However, theseefforts focus of social disparities in West, andare not directly
portable to other geo-culturalcontexts. In this paper, we focus on NLP
fair-ness in the context of India. We start witha brief account of the
prominent axes of so-cial disparities in India. We build resourcesfor fairness
evaluation in the Indian contextand use them to demonstrate prediction bi-ases
along some of the axes. We then delvedeeper into social stereotypes for …

arxiv case fairness india nlp