On the Interplay between Human Label Variation and Model Fairness

Kemal Kurniawan; Meladel Mistica; Timothy Baldwin; Jey Han Lau

On the Interplay between Human Label Variation and Model Fairness

Kemal Kurniawan, Meladel Mistica, Timothy Baldwin, Jey Han Lau

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Abstract

The impact of human label variation (HLV) on model fairness is an unexplored topic. This paper examines the interplay by comparing training on majority-vote labels with a range of HLV methods. Our experiments show that without explicit debiasing, HLV training methods have a positive impact on fairness under certain configurations.

Anthology ID:: 2026.findings-eacl.50
Volume:: Findings of the Association for Computational Linguistics: EACL 2026
Month:: March
Year:: 2026
Address:: Rabat, Morocco
Editors:: Vera Demberg, Kentaro Inui, Lluís Marquez
Venue:: Findings
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 967–976
Language:
URL:: https://aclanthology.org/2026.findings-eacl.50/
DOI:
Bibkey:
Cite (ACL):: Kemal Kurniawan, Meladel Mistica, Timothy Baldwin, and Jey Han Lau. 2026. On the Interplay between Human Label Variation and Model Fairness. In Findings of the Association for Computational Linguistics: EACL 2026, pages 967–976, Rabat, Morocco. Association for Computational Linguistics.
Cite (Informal):: On the Interplay between Human Label Variation and Model Fairness (Kurniawan et al., Findings 2026)
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PDF:: https://aclanthology.org/2026.findings-eacl.50.pdf
Checklist:: 2026.findings-eacl.50.checklist.pdf

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@inproceedings{kurniawan-etal-2026-interplay,
    title = "On the Interplay between Human Label Variation and Model Fairness",
    author = "Kurniawan, Kemal  and
      Mistica, Meladel  and
      Baldwin, Timothy  and
      Lau, Jey Han",
    editor = "Demberg, Vera  and
      Inui, Kentaro  and
      Marquez, Llu{\'i}s",
    booktitle = "Findings of the {A}ssociation for {C}omputational {L}inguistics: {EACL} 2026",
    month = mar,
    year = "2026",
    address = "Rabat, Morocco",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.findings-eacl.50/",
    pages = "967--976",
    ISBN = "979-8-89176-386-9",
    abstract = "The impact of human label variation (HLV) on model fairness is an unexplored topic. This paper examines the interplay by comparing training on majority-vote labels with a range of HLV methods. Our experiments show that without explicit debiasing, HLV training methods have a positive impact on fairness under certain configurations."
}

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%0 Conference Proceedings
%T On the Interplay between Human Label Variation and Model Fairness
%A Kurniawan, Kemal
%A Mistica, Meladel
%A Baldwin, Timothy
%A Lau, Jey Han
%Y Demberg, Vera
%Y Inui, Kentaro
%Y Marquez, Lluís
%S Findings of the Association for Computational Linguistics: EACL 2026
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Morocco
%@ 979-8-89176-386-9
%F kurniawan-etal-2026-interplay
%X The impact of human label variation (HLV) on model fairness is an unexplored topic. This paper examines the interplay by comparing training on majority-vote labels with a range of HLV methods. Our experiments show that without explicit debiasing, HLV training methods have a positive impact on fairness under certain configurations.
%U https://aclanthology.org/2026.findings-eacl.50/
%P 967-976

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Markdown (Informal)

[On the Interplay between Human Label Variation and Model Fairness](https://aclanthology.org/2026.findings-eacl.50/) (Kurniawan et al., Findings 2026)

On the Interplay between Human Label Variation and Model Fairness (Kurniawan et al., Findings 2026)

ACL

Kemal Kurniawan, Meladel Mistica, Timothy Baldwin, and Jey Han Lau. 2026. On the Interplay between Human Label Variation and Model Fairness. In Findings of the Association for Computational Linguistics: EACL 2026, pages 967–976, Rabat, Morocco. Association for Computational Linguistics.