Who’s Responsible and How? AI in Higher Education

The paper presents reactions and use of Generative AI (genAI) by faculty, students, and staff in higher education as captured through the Technology Acceptance Model (TAM). Findings reveal more fundamental needs for shared definition and support of core competencies in higher education, rather than of the tool itself. Specifically, the use of genAI was influenced by perception of usefulness in relation to the need for academic and professional support that students and staff currently do not receive sufficiently and the lack of shared understanding of the role genAI plays in the institution. We present findings and our recommendations in addressing this challenge, while opening wider conversation around who is responsible and how in addressing this disruptive technology and related changes.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.59668/2222.21507
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

Who’s Responsible and How? AI in Higher Education

Yoo Kyung Chang, Kristin Gorski, Zainab Mesiya
Ethics and Social Impacts of AI
article

Who’s Responsible and How? AI in Higher Education

Yoo Kyung Chang, Kristin Gorski, Zainab Mesiya
article en

Abstract

The paper presents reactions and use of Generative AI (genAI) by faculty, students, and staff in higher education as captured through the Technology Acceptance Model (TAM). Findings reveal more fundamental needs for shared definition and support of core competencies in higher education, rather than of the tool itself. Specifically, the use of genAI was influenced by perception of usefulness in relation to the need for academic and professional support that students and staff currently do not receive sufficiently and the lack of shared understanding of the role genAI plays in the institution. We present findings and our recommendations in addressing this challenge, while opening wider conversation around who is responsible and how in addressing this disruptive technology and related changes.

Vol. 14(2)
Columbia University (US)
Openalex Percentile: Top 89%
Ethics and Social Impacts of AI
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