Evaluating Inclusivity, Equity, and Accessibility of NLP Technology: A Case Study for Indian Languages. (arXiv:2205.12676v1 [cs.CL])

In order for NLP technology to be widely applicable and useful, it needs to
be inclusive of users across the world's languages, equitable, i.e., not unduly
biased towards any particular language, and accessible to users, particularly
in low-resource settings where compute constraints are common. In this paper,
we propose an evaluation paradigm that assesses NLP technologies across all
three dimensions, hence quantifying the diversity of users they can serve.
While inclusion and accessibility have received attention in recent literature,
equity …

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