Cultural Re-contextualization of Fairness Research in Language Technologies in India

Understand

Recent research has revealed undesirable biases in NLP data and models.

• However, these efforts largely focus on social disparities in the West, and are not directly portable to other geo-cultural contexts.
• In this position paper, we outline a holistic research agenda to re-contextualize NLP fairness research for the Indian context, accounting for Indian societal context, bridging technological gaps in capability and resources, and adapting to Indian cultural values.
• We also summarize findings from an empirical study on various social biases along different axes of disparities relevant to India, demonstrating their prevalence in corpora and models.