A Multi-Year Investigation of Undergraduates’ Generative AI Fairness Appraisals in Higher Education

Sunday Stein, Victoria Delaney, Mich Manrique


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.
Anthology ID:
2026.aimecon-main.61
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:
543–550
Language:
URL:
https://aclanthology.org/2026.aimecon-main.61/
DOI:
Bibkey:
Cite (ACL):
Sunday Stein, Victoria Delaney, and Mich Manrique. 2026. A Multi-Year Investigation of Undergraduates’ Generative AI Fairness Appraisals in Higher Education. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 543–550, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).
Cite (Informal):
A Multi-Year Investigation of Undergraduates’ Generative AI Fairness Appraisals in Higher Education (Stein et al., AIME-Con 2026)
Copy Citation:
PDF:
https://aclanthology.org/2026.aimecon-main.61.pdf