  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.
