The Hidden Cost of Disclosure: A Multi-Institutional Study on Undergraduate Students’ Generative AI Usage and Faculty Accusations

A current challenge in higher education policy is creating a transparent learning environment where students can disclose their use of GenAI to their faculty without any repercussions. This quantitative study investigates how self-reported GenAI usage patterns, course policies, and wrongful accusations shape student disclosure behaviors. Analyzing survey data from 560 students at four Northeastern U.S. institutions, the research explores disclosure through a trust-distrust lens. Results indicate that frequent GenAI users were significantly more likely to rarely disclose usage. Furthermore, participants who “always” disclosed their AI use faced over three times the odds of being accused by instructors than those who “never” disclosed. These findings highlight the hidden costs of transparency and underscore the need for equitable GenAI policies and trust-sensitive pedagogical practices. Ultimately, the study offers timely implications for developing supportive, AI-integrated learning environments that encourage transparency without the risk of repercussions

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Publication Details

Journal
Educational Policy
Published
2026-10-29
DOI
https://doi.org/10.1177/08959048261498212
Primary Topic
Academic integrity and plagiarism
Type
article
Field-Weighted Citation Impact
0.00
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article

The Hidden Cost of Disclosure: A Multi-Institutional Study on Undergraduate Students’ Generative AI Usage and Faculty Accusations

Islam M. Farag, Brent Lucia, John J Silvestro, Matthew A. Vetter et al.
3 links
Educational Policy
Academic integrity and plagiarism
article

The Hidden Cost of Disclosure: A Multi-Institutional Study on Undergraduate Students’ Generative AI Usage and Faculty Accusations

Islam M. Farag, Brent Lucia, John J Silvestro, Matthew A. Vetter, Jialei Jiang
article en

Abstract

A current challenge in higher education policy is creating a transparent learning environment where students can disclose their use of GenAI to their faculty without any repercussions. This quantitative study investigates how self-reported GenAI usage patterns, course policies, and wrongful accusations shape student disclosure behaviors. Analyzing survey data from 560 students at four Northeastern U.S. institutions, the research explores disclosure through a trust-distrust lens. Results indicate that frequent GenAI users were significantly more likely to rarely disclose usage. Furthermore, participants who “always” disclosed their AI use faced over three times the odds of being accused by instructors than those who “never” disclosed. These findings highlight the hidden costs of transparency and underscore the need for equitable GenAI policies and trust-sensitive pedagogical practices. Ultimately, the study offers timely implications for developing supportive, AI-integrated learning environments that encourage transparency without the risk of repercussions

Educational Policy
University of Connecticut (US), Slippery Rock University (US), University of Pittsburgh (US), Indiana University of Pennsylvania (US)
Quality education, Peace, justice, and strong institutions, Reduced inequalities
Openalex Percentile: Top 8%
Academic integrity and plagiarism
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The Hidden Cost of Disclosure: A Multi-Institutional Study on Undergraduate Students’ Generative AI Usage and Faculty Accusations — Islam M. Farag, Brent Lucia, et al. · Educational Policy (2026) | TGRS Research Map | TGRS