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        <title>Same Score, Same Meaning? Generative AI, Automated Scoring, and the Validity of Score Interpretations</title>
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            <namePart type="given">Joshua</namePart>
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    <abstract>Agreement between generative AI and subject-matter expert scores is necessary but insufficient to establish equivalent score meaning. Drawing on Kane’s scoring inference, I distinguish text-proximal from expertise-dependent tasks and argue that opaque model development threatens validity when score meaning depends on domain-specific judgment that score agreement alone cannot demonstrate.</abstract>
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%0 Conference Proceedings
%T Same Score, Same Meaning? Generative AI, Automated Scoring, and the Validity of Score Interpretations
%A Runyon, Christopher
%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 runyon-2026-score
%X Agreement between generative AI and subject-matter expert scores is necessary but insufficient to establish equivalent score meaning. Drawing on Kane’s scoring inference, I distinguish text-proximal from expertise-dependent tasks and argue that opaque model development threatens validity when score meaning depends on domain-specific judgment that score agreement alone cannot demonstrate.
%U https://aclanthology.org/2026.aimecon-main.77/
%P 681-687

Markdown (Informal)

[Same Score, Same Meaning? Generative AI, Automated Scoring, and the Validity of Score Interpretations](https://aclanthology.org/2026.aimecon-main.77/) (Runyon, AIME-Con 2026)

• Same Score, Same Meaning? Generative AI, Automated Scoring, and the Validity of Score Interpretations (Runyon, AIME-Con 2026)

ACL

• Christopher Runyon. 2026. Same Score, Same Meaning? Generative AI, Automated Scoring, and the Validity of Score Interpretations. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 681–687, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).