Designing operational ethical frameworks for the use of generative AI in higher education

Carmen Jaritza Petao Salazar
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Carmen Jaritza Petao Salazar: Casa Grande University, Ecuador

Applied Journal of Digital Innovation, 2026, vol. 2, 15

Abstract: This doctoral study developed and validated an Operational Ethical Framework (OEF-GAI) to guide the responsible use of Generative Artificial Intelligence (GAI) in higher education. Using a sequential mixed-methods approach (documentary analysis, case study, survey n=1,247, and Delphi method), it identified a critical gap between abstract ethical principles and their practical institutional application. Results showed that the university community demands practical guidance and training over mere prohibitions. The validated OEF-GAI responds with a three-layer architecture: Foundations (guiding principles), Operational Pillars (governance, practical instruments, training), and an Application Cycle for continuous improvement. It is concluded that the ethical integration of GAI requires institutionalizing processes of reflection and support, transforming the abstract dilemma into manageable practice that fosters responsible innovation.

Keywords: Generative artificial intelligence; ethics in higher education; operational framework; policy implementation; university governance. (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:ajd:ajdinn:v:2:y:2026:id:15

DOI: 10.65835/aj.2026.2.15

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