On Promoting Individual-Level Fairness in Automated Scoring

Michael Fauss; Matthew S. Johnson; Ikkyu Choi

On Promoting Individual-Level Fairness in Automated Scoring

Michael Fauss, Matthew S. Johnson, Ikkyu Choi

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Abstract

We investigate the problem of promoting individual fairness in automated scoring. Three models are trained and evaluated under different individual fairness constraints. The models show improved scoring consistency on the test set, but at the cost of slightly reduced accuracy and a tendency to regress scores towards the mean.

Anthology ID:: 2026.aimecon-main.36
Volume:: Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
Month:: October
Year:: 2026
Address:: Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
Editors:: Joshua Wilson, Christopher Ormerod, Magdalen Beiting-Parrish
Venue:: AIME-Con
SIG:
Publisher:: National Council on Measurement in Education (NCME)
Note:
Pages:: 323–331
Language:
URL:: https://aclanthology.org/2026.aimecon-main.36/
DOI:
Bibkey:
Cite (ACL):: Michael Fauss, Matthew S. Johnson, and Ikkyu Choi. 2026. On Promoting Individual-Level Fairness in Automated Scoring. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 323–331, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).
Cite (Informal):: On Promoting Individual-Level Fairness in Automated Scoring (Fauss et al., AIME-Con 2026)
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PDF:: https://aclanthology.org/2026.aimecon-main.36.pdf

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Endnote
Preformatted

@inproceedings{fauss-etal-2026-promoting,
    title = "On Promoting Individual-Level Fairness in Automated Scoring",
    author = "Fauss, Michael  and
      Johnson, Matthew S.  and
      Choi, Ikkyu",
    editor = "Wilson, Joshua  and
      Ormerod, Christopher  and
      Beiting-Parrish, Magdalen",
    booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference ({AIME}-Con): Full Papers",
    month = oct,
    year = "2026",
    address = "Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States",
    publisher = "National Council on Measurement in Education (NCME)",
    url = "https://aclanthology.org/2026.aimecon-main.36/",
    pages = "323--331",
    ISBN = "979-8-9983004-0-0",
    abstract = "We investigate the problem of promoting individual fairness in automated scoring. Three models are trained and evaluated under different individual fairness constraints. The models show improved scoring consistency on the test set, but at the cost of slightly reduced accuracy and a tendency to regress scores towards the mean."
}

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%0 Conference Proceedings
%T On Promoting Individual-Level Fairness in Automated Scoring
%A Fauss, Michael
%A Johnson, Matthew S.
%A Choi, Ikkyu
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-0-0
%F fauss-etal-2026-promoting
%X We investigate the problem of promoting individual fairness in automated scoring. Three models are trained and evaluated under different individual fairness constraints. The models show improved scoring consistency on the test set, but at the cost of slightly reduced accuracy and a tendency to regress scores towards the mean.
%U https://aclanthology.org/2026.aimecon-main.36/
%P 323-331

Download as File

Markdown (Informal)

[On Promoting Individual-Level Fairness in Automated Scoring](https://aclanthology.org/2026.aimecon-main.36/) (Fauss et al., AIME-Con 2026)

On Promoting Individual-Level Fairness in Automated Scoring (Fauss et al., AIME-Con 2026)

ACL

Michael Fauss, Matthew S. Johnson, and Ikkyu Choi. 2026. On Promoting Individual-Level Fairness in Automated Scoring. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 323–331, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).