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June 27, 2026Open Access

From Ethical Discourse to Empirical Evidence: How Ethics Is Operationalized in Studies on Generative AI in Higher Education

Revekka Kyriakoglou Anna Pappa Valéry Psyché Sébastien Lallé Guilherme Medeiros Machado Nour El Mawas Sonia Proust-Androwkha Lamprini Chartofylaka Anis Boubaker

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Key Points

To explore how ethical discourse is transformed into empirical evidence in studies on generative AI in higher education.
Analyzed ethical frameworks and their applications in studies of generative AI.
Reviewed literature on generative AI systems within educational contexts.
Identified key ethical principles that guide research on generative AI in education.
Demonstrated variations in the operationalization of ethics across different studies.

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Implication

Paper examines how ethical concepts are applied in generative AI in higher education, indicating practical implications.

Abstract

Paper (long) accepted in AIED 2026 27th International Conference on AI in Education, Seoul Republic of Korea.

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Cite This Study

Kyriakoglou et al. (2026) studied this question.

synapsesocial.com/papers/6a362ebddb0793dc1a536601 https://doi.org/10.1007/978-3-032-29773-0_15

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