Re-contextualizing Fairness in NLP: The Case of India. (arXiv:2209.12226v5 [cs.CL] UPDATED)

Recent research has revealed undesirable biases in NLP data and models.
However, these efforts focus on social disparities in West, and are not
directly portable to other geo-cultural contexts. In this paper, we focus on
NLP fair-ness in the context of India. We start with a brief account of the
prominent axes of social disparities in India. We build resources for fairness
evaluation in the Indian context and use them to demonstrate prediction biases
along some of the axes. We …

arxiv case fairness india nlp