Transparency in Language Generation: Levels of Automation

06/11/2020
by   Justin Edwards, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

research
09/17/2021

Taxonomy and Survey on Remote Human Input Systems for Driving Automation Systems

Corner cases for driving automation systems can often be detected by the...
research
08/18/2023

Leveraging Large Language Models for DRL-Based Anti-Jamming Strategies in Zero Touch Networks

As the dawn of sixth-generation (6G) networking approaches, it promises ...
research
09/24/2020

Toward Adaptive Trust Calibration for Level 2 Driving Automation

Properly calibrated human trust is essential for successful interaction ...
research
06/02/2023

Responsible Task Automation: Empowering Large Language Models as Responsible Task Automators

The recent success of Large Language Models (LLMs) signifies an impressi...
research
11/29/2018

Prediction Factory: automated development and collaborative evaluation of predictive models

In this paper, we present a data science automation system called Predic...
research
04/28/2023

Towards autonomous system: flexible modular production system enhanced with large language model agents

In this paper, we present a novel framework that combines large language...
research
03/15/2012

ALARMS: Alerting and Reasoning Management System for Next Generation Aircraft Hazards

The Next Generation Air Transportation System will introduce new, advanc...

Please sign up or login with your details

Forgot password? Click here to reset