# Transparency in Language Generation: Levels of Automation

arXiv: https://arxiv.org/abs/2006.06295 · HTML: https://mlsanity.com/paper/2006.06295/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Jun 2020.

## Built on by (most cited first, 2 of 2)

- [LGBTQ-AI? Exploring Expressions of Gender and Sexual Orientation in Chatbots](https://mlsanity.com/paper/2106.02076/) (2021)
- [Not Quite 'Ask a Librarian': AI on the Nature, Value, and Future of LIS](https://mlsanity.com/paper/2107.05383/) (2021)

## Abstract (arXiv)

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.