Amplifying Trans and Nonbinary Voices: A Community-Centred Harm Taxonomy for LLMs
Eddie L. Ungless, Sunipa Dev, Cynthia L. Bennett, Rebecca Gulotta, Jasmijn Bastings, Remi Denton
Abstract
We explore large language model (LLM) responses that may negatively impact the transgender and nonbinary (TGNB) community and introduce the Transing Transformers Toolkit, T3, which provides resources for identifying such harmful response behaviors. The heart of T3 is a community-centred taxonomy of harms, developed in collaboration with the TGNB community, which we complement with, amongst other guidance, suggested heuristics for evaluation. To develop the taxonomy, we adopted a multi-method approach that included surveys and focus groups with community experts. The contribution highlights the importance of community-centred approaches in mitigating harm, and outlines pathways for LLM developers to improve how their models handle TGNB-related topics.
BibTeX
@inproceedings{ungless-etal-2025-amplifying,
title = "Amplifying Trans and Nonbinary Voices: A Community-Centred Harm Taxonomy for {LLM}s",
author = "Ungless, Eddie L. and
Dev, Sunipa and
Bennett, Cynthia L. and
Gulotta, Rebecca and
Bastings, Jasmijn and
Denton, Remi",
editor = "Che, Wanxiang and
Nabende, Joyce and
Shutova, Ekaterina and
Pilehvar, Mohammad Taher",
booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.acl-long.1001/",
doi = "10.18653/v1/2025.acl-long.1001",
pages = "20503--20535",
ISBN = "979-8-89176-251-0"
}