论文标题

语言生成的透明度:自动化级别

Transparency in Language Generation: Levels of Automation

论文作者

Edwards, Justin, Perrone, Allison, Doyle, Philip R.

论文摘要

语言模型和对话系统的增长越来越高,创造了可能被误认为人类的输出。因此,可以通过广告,媒体报道或关于自动化在语言生产中的作用的模糊性误导消费者。我们根据SAE自动化级别提出了语言自动化的分类法,以建立描述自动化语言的共同术语。我们希望拟议的分类法可以在这个快速前进的领域中提高透明度。

Language models and conversational systems are growing increasingly advanced, creating outputs that may be mistaken for humans. Consumers may thus be misled by advertising, media reports, or vagueness regarding the role of automation in the production of language. We propose a taxonomy of language automation, based on the SAE levels of driving automation, to establish a shared set of terms for describing automated language. It is our hope that the proposed taxonomy can increase transparency in this rapidly advancing field.

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