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Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Generative artificial intelligence and ethics: University faculty, staff, and students' views

Authors: Bahlmann Bollinger, Chelsey M; Quinn, Alexa M; Kanavagh, Kara M; Lieber, Rabia; Estes, Michele; Merritt, Joi;

Generative artificial intelligence and ethics: University faculty, staff, and students' views

Abstract

Abstract: This exploratory study examines the ethical viewpoints, and perspectives of faculty, staff, and students concerning Gen-erative Artificial Intelligence (GAI) technology tools at a mid-Atlantic university as of August 2023. This qualitative study is guided by Diffusion of Innovation Theory, and the Eight Key Questions Ethical Reasoning Framework, and aims to document the early reactions of the academic community to GAI's introduction into educational contexts. A university wide survey was distributed to document the perceptions, concerns, and expectations of the academic community with respect to GAI as it emerged. The results indicated a range of responses to GAI from optimism that GAI could be used to augment teaching and provide additional support to students, to concern over issues such as academic honesty, bias, privacy of data, and devaluation of authentic learning experiences. The study indicates the complexity of incorporating GAI into higher education. The study establishes a foundation for future studies on the sociotechnical implications of GAI, and includes a University GAI Ethics Guidance Checklist to assist in the ethical implementation of GAI.

Submitted: May 2025, Revision Submitted: December 2025, Accepted: December 2025

Related Organizations
Keywords

Generative Artificial Intelligence, Institutional Policy, Higher Education, Diffusion of Innovation, Ethical Considerations

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green