@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",
abstract = "We explore large language model (LLM) responses that may negatively impact the transgender and nonbinary (TGNB) community and introduce the Transing Transformers Toolkit, $T^3$, which provides resources for identifying such harmful response behaviors. The heart of $T^3$ 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."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="ungless-etal-2025-amplifying">
<titleInfo>
<title>Amplifying Trans and Nonbinary Voices: A Community-Centred Harm Taxonomy for LLMs</title>
</titleInfo>
<name type="personal">
<namePart type="given">Eddie</namePart>
<namePart type="given">L</namePart>
<namePart type="family">Ungless</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Sunipa</namePart>
<namePart type="family">Dev</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Cynthia</namePart>
<namePart type="given">L</namePart>
<namePart type="family">Bennett</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Rebecca</namePart>
<namePart type="family">Gulotta</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Jasmijn</namePart>
<namePart type="family">Bastings</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Remi</namePart>
<namePart type="family">Denton</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2025-07</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)</title>
</titleInfo>
<name type="personal">
<namePart type="given">Wanxiang</namePart>
<namePart type="family">Che</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Joyce</namePart>
<namePart type="family">Nabende</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Ekaterina</namePart>
<namePart type="family">Shutova</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Mohammad</namePart>
<namePart type="given">Taher</namePart>
<namePart type="family">Pilehvar</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Vienna, Austria</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
<identifier type="isbn">979-8-89176-251-0</identifier>
</relatedItem>
<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.</abstract>
<identifier type="citekey">ungless-etal-2025-amplifying</identifier>
<identifier type="doi">10.18653/v1/2025.acl-long.1001</identifier>
<location>
<url>https://aclanthology.org/2025.acl-long.1001/</url>
</location>
<part>
<date>2025-07</date>
<extent unit="page">
<start>20503</start>
<end>20535</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Amplifying Trans and Nonbinary Voices: A Community-Centred Harm Taxonomy for LLMs
%A Ungless, Eddie L.
%A Dev, Sunipa
%A Bennett, Cynthia L.
%A Gulotta, Rebecca
%A Bastings, Jasmijn
%A Denton, Remi
%Y Che, Wanxiang
%Y Nabende, Joyce
%Y Shutova, Ekaterina
%Y Pilehvar, Mohammad Taher
%S Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-251-0
%F ungless-etal-2025-amplifying
%X 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.
%R 10.18653/v1/2025.acl-long.1001
%U https://aclanthology.org/2025.acl-long.1001/
%U https://doi.org/10.18653/v1/2025.acl-long.1001
%P 20503-20535
Markdown (Informal)
[Amplifying Trans and Nonbinary Voices: A Community-Centred Harm Taxonomy for LLMs](https://aclanthology.org/2025.acl-long.1001/) (Ungless et al., ACL 2025)
ACL