Construct · 1 fields · 1 citations
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In natural language processing, representational harm refers to harm done when a system represents some social groups in a less favorable or demeaning way, as distinct from unfairly allocating resources. This meaning comes from Blodgett (2020) in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.[1]
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