论文标题
GPT-3生成的开放式语言中偏见的残疾镜头
A Disability Lens towards Biases in GPT-3 Generated Open-Ended Languages
论文作者
论文摘要
语言模型（LM）在全球许多基于语言的应用程序空间中越来越普遍。尽管这些LMS正在改善我们与数字产品的日常互动，但无论是开放式的语言还是这些模型产生的文本仍然存在对特定人群的任何偏见，因此仍然存在担忧，从而冒着某种产品的可用性风险。有必要确定这些模型是否具有偏见以改善这些模型中的公平性。这一差距激发了我们正在进行的工作，在该工作中，我们通过残疾镜头测量了GPT-3生成的文本的两个方面。
Language models (LM) are becoming prevalent in many language-based application spaces globally. Although these LMs are improving our day-to-day interactions with digital products, concerns remain whether open-ended languages or text generated from these models reveal any biases toward a specific group of people, thereby risking the usability of a certain product. There is a need to identify whether these models possess bias to improve the fairness in these models. This gap motivates our ongoing work, where we measured the two aspects of bias in GPT-3 generated text through a disability lens.
