@inproceedings{stein-etal-2026-multi,
title = "A Multi-Year Investigation of Undergraduates' Generative {AI} Fairness Appraisals in Higher Education",
author = "Stein, Sunday and
Delaney, Victoria and
Manrique, Mich",
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.61/",
pages = "543--550",
ISBN = "979-8-9983004-0-0",
abstract = "Our work examines the evolution of undergraduate students' appraisals of genAI fairness in school curriculum across a two-year horizon. We identify and present differences in students' fairness appraisals and rationales between this academic year and last, delving into underlying sources of change and their implications for higher education policy."
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%0 Conference Proceedings
%T A Multi-Year Investigation of Undergraduates’ Generative AI Fairness Appraisals in Higher Education
%A Stein, Sunday
%A Delaney, Victoria
%A Manrique, Mich
%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 stein-etal-2026-multi
%X Our work examines the evolution of undergraduate students’ appraisals of genAI fairness in school curriculum across a two-year horizon. We identify and present differences in students’ fairness appraisals and rationales between this academic year and last, delving into underlying sources of change and their implications for higher education policy.
%U https://aclanthology.org/2026.aimecon-main.61/
%P 543-550
Markdown (Informal)
[A Multi-Year Investigation of Undergraduates’ Generative AI Fairness Appraisals in Higher Education](https://aclanthology.org/2026.aimecon-main.61/) (Stein et al., AIME-Con 2026)
ACL