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Responsible and Ethical Use of AI in Education: Are We Forcing a Square Peg into a Round Hole?

Author

Listed:
  • Alexander Amigud

    (Faculty of Management, International Business University, Toronto, ON M5S 2V1, Canada)

  • David J. Pell

    (Faculty of Arts and Social Sciences (FASS), The Open University, Milton Keynes MK7 6AA, UK)

Abstract

The emergence of generative AI has caused a major dilemma—as higher education institutions prepare students for the workforce, the development of digital skills must become a normative aim, while simultaneously preserving academic integrity and credibility. The challenge they face is not simply a matter of using AI responsibly but typically of reconciling two opposing duties: (A) preparing students for the future of work, and (B) maintaining the traditional role of developing personal academic skills, such as critical thinking, the ability to acquire knowledge, and the capacity to produce original work. Higher education institutions must typically balance these objectives while addressing financial considerations, creating value for students and employers, and meeting accreditation requirements. Against this need, this multiple-case study of fifty universities across eight countries examined institutional response to generative AI. The content analysis revealed apparent confusion and a lack of established best practices, as proposed actions varied widely, from complete bans on generated content to the development of custom AI assistants for students and faculty. Oftentimes, the onus fell on individual faculty to exercise discretion in the use of AI, suggesting an inconsistent application of academic policy. We conclude by recognizing that time and innovation will be required for the apparent confusion of higher education institutions in responding to this challenge to be resolved and suggest some possible approaches to that. Our results, however, suggest that their top concern now is the potential for irresponsible use of AI by students to cheat on assessments. We, therefore, recommend that, in the short term, and likely in the long term, the credibility of awards is urgently safeguarded and argue that this could be achieved by ensuring at least some human-proctored assessments are integrated into courses, e.g., in the form of real-location examinations and viva voces.

Suggested Citation

  • Alexander Amigud & David J. Pell, 2025. "Responsible and Ethical Use of AI in Education: Are We Forcing a Square Peg into a Round Hole?," World, MDPI, vol. 6(2), pages 1-18, June.
  • Handle: RePEc:gam:jworld:v:6:y:2025:i:2:p:81-:d:1671331
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    References listed on IDEAS

    as
    1. Aras Bozkurt & Abdulkadir Karadeniz & David Baneres & Ana Elena Guerrero-Roldán & M. Elena Rodríguez, 2021. "Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    2. Nicola Jones, 2024. "How journals are fighting back against a wave of questionable images," Nature, Nature, vol. 626(8000), pages 697-698, February.
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