@inproceedings{ungless-etal-2025-way,
title = "The Only Way is Ethics: A Guide to Ethical Research with Large Language Models",
author = "Ungless, Eddie L. and
Vitsakis, Nikolas and
Talat, Zeerak and
Garforth, James and
Ross, Bjorn and
Onken, Arno and
Kasirzadeh, Atoosa and
Birch, Alexandra",
editor = "Rambow, Owen and
Wanner, Leo and
Apidianaki, Marianna and
Al-Khalifa, Hend and
Eugenio, Barbara Di and
Schockaert, Steven",
booktitle = "Proceedings of the 31st International Conference on Computational Linguistics",
month = jan,
year = "2025",
address = "Abu Dhabi, UAE",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.coling-main.603/",
pages = "8992--9005",
abstract = "There is a significant body of work looking at the ethical considerations of large language models (LLMs): critiquing tools to measure performance and harms; proposing toolkits to aid in ideation; discussing the risks to workers; considering legislation around privacy and security etc. As yet there is no work that integrates these resources into a single practical guide that focuses on LLMs; we attempt this ambitious goal. We introduce LLM Ethics Whitepaper, which we provide as an open and living resource for NLP practitioners, and those tasked with evaluating the ethical implications of others' work. Our goal is to translate ethics literature into concrete recommendations for computer scientists. LLM Ethics Whitepaper distils a thorough literature review into clear Do`s and Don`ts, which we present also in this paper. We likewise identify useful toolkits to support ethical work. We refer the interested reader to the full LLM Ethics Whitepaper, which provides a succinct discussion of ethical considerations at each stage in a project lifecycle, as well as citations for the hundreds of papers from which we drew our recommendations. The present paper can be thought of as a pocket guide to conducting ethical research with LLMs."
}
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%0 Conference Proceedings
%T The Only Way is Ethics: A Guide to Ethical Research with Large Language Models
%A Ungless, Eddie L.
%A Vitsakis, Nikolas
%A Talat, Zeerak
%A Garforth, James
%A Ross, Bjorn
%A Onken, Arno
%A Kasirzadeh, Atoosa
%A Birch, Alexandra
%Y Rambow, Owen
%Y Wanner, Leo
%Y Apidianaki, Marianna
%Y Al-Khalifa, Hend
%Y Eugenio, Barbara Di
%Y Schockaert, Steven
%S Proceedings of the 31st International Conference on Computational Linguistics
%D 2025
%8 January
%I Association for Computational Linguistics
%C Abu Dhabi, UAE
%F ungless-etal-2025-way
%X There is a significant body of work looking at the ethical considerations of large language models (LLMs): critiquing tools to measure performance and harms; proposing toolkits to aid in ideation; discussing the risks to workers; considering legislation around privacy and security etc. As yet there is no work that integrates these resources into a single practical guide that focuses on LLMs; we attempt this ambitious goal. We introduce LLM Ethics Whitepaper, which we provide as an open and living resource for NLP practitioners, and those tasked with evaluating the ethical implications of others’ work. Our goal is to translate ethics literature into concrete recommendations for computer scientists. LLM Ethics Whitepaper distils a thorough literature review into clear Do‘s and Don‘ts, which we present also in this paper. We likewise identify useful toolkits to support ethical work. We refer the interested reader to the full LLM Ethics Whitepaper, which provides a succinct discussion of ethical considerations at each stage in a project lifecycle, as well as citations for the hundreds of papers from which we drew our recommendations. The present paper can be thought of as a pocket guide to conducting ethical research with LLMs.
%U https://aclanthology.org/2025.coling-main.603/
%P 8992-9005
Markdown (Informal)
[The Only Way is Ethics: A Guide to Ethical Research with Large Language Models](https://aclanthology.org/2025.coling-main.603/) (Ungless et al., COLING 2025)
ACL
- Eddie L. Ungless, Nikolas Vitsakis, Zeerak Talat, James Garforth, Bjorn Ross, Arno Onken, Atoosa Kasirzadeh, and Alexandra Birch. 2025. The Only Way is Ethics: A Guide to Ethical Research with Large Language Models. In Proceedings of the 31st International Conference on Computational Linguistics, pages 8992–9005, Abu Dhabi, UAE. Association for Computational Linguistics.