Advancing social justice through linguistic justice: Strategies for building equity fluent NLP technology
Advancing social justice through linguistic justice: Strategies for building equity fluent NLP technology
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通过语言正义促进社会正义：构建公平流畅的 NLP 技术的策略
DOI：
10.1145/3465416.3483301
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Ishita Rustagi
中科院分区：
文献类型：
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作者：
Julia Nee;Genevieve M. Smith;Alicia Sheares;Ishita Rustagi
语言和社会现实是相辅相成的；因此，自然语言处理（NLP）提供了一个独特的机会，可以大规模地改变社会现实，通过促进语言公正来促进社会公正。我们概述了语言和偏见是如何交织在一起的，以及构建积极促进公平和包容的NLP工具的含义。然后，我们提出了一个框架，以语言结构的四个重叠层为中心，在NLP设计中集中包容和社会正义。目标是为在创建NLP工具时采用以公平为中心的原则提供基础，这些工具不仅可以减轻社会偏见，还可以通过语言积极促进包容和社会正义。加州大学伯克利分校哈斯商学院（UC Berkeley Haas School of Business）平等、性别和领导力中心（Center for equality, Gender, and Leadership）的研究人员与硅谷一家大型科技公司的领导者和实践者建立了合作伙伴关系，这项工作旨在具有实用性。这个框架可以促进以公平为中心的思维，从而产生更“公平流畅”的NLP工具，这些工具有可能在更广泛的范围内促进正义。
Language and social reality are mutually reinforcing; as a result, natural language processing (NLP) presents a unique opportunity to shift social reality at scale, advancing social justice by promoting linguistic justice. We provide an overview of how language and bias are intertwined and implications for building NLP tools that actively advance equity and inclusion. Then, we present a framework for centering inclusion and social justice in NLP design at four overlapping layers of linguistic structure. The goal is to provide a foundation for adopting equity-centered principles in the creation of NLP tools that don’t simply mitigate social biases, but actively advance inclusion and social justice through language. This work aims to be practical and builds from a partnership between researchers at the Center for Equity, Gender, and Leadership at the UC Berkeley Haas School of Business and leaders and practitioners at a large Silicon Valley tech firm. This framework can foster equity-centered thinking to lead to greater “equity fluent” NLP tools that have the potential to advance justice more broadly.