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Bridging Fairness and Environmental Sustainability in Natural Language Processing. (arXiv:2211.04256v1 [cs.CL])
cs.CL updates on arXiv.org arxiv.org
Fairness and environmental impact are important research directions for the
sustainable development of artificial intelligence. However, while each topic
is an active research area in natural language processing (NLP), there is a
surprising lack of research on the interplay between the two fields. This
lacuna is highly problematic, since there is increasing evidence that an
exclusive focus on fairness can actually hinder environmental sustainability,
and vice versa. In this work, we shed light on this crucial intersection in NLP
by …
arxiv environmental environmental sustainability fairness language language processing natural natural language natural language processing processing sustainability