Just for the natural language processing (NLP) task of passage-based question answering (QA), more than 15 new datasets containing at least 50k annotations have been introduced since 2016. Prior to that, available QA datasets contained orders of magnitude fewer examples.
These practices have raised ethical concerns, including low wages; disparate access, benefits, and harms of developed applications; reproducibility of proposed methods; and potential for unfairness and discrimination in the resulting technologies.
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