Responsible Implementation of AI in Higher Education: Ethical Factors Guiding Dutch IT Teachers

Abstract

This study explores the ethical factors that influence teachers in the use of artificial intelligence (AI) in higher education. Employing a mixed methods approach, which includes a Systematic Literature Review (SLR), two focus groups involving IT teachers, a survey, and four interviews, a total of 37 ethical factors were identified through the SLR & focus groups. The ethical factors identified from the literature review and focus groups highlight the nuanced perspectives surrounding the use of AI implementation. The results from the survey and interviews provide an initial step toward further exploration and generalization of the research findings. The findings contribute to a refined understanding of ethical considerations in AI use for teachers, offering valuable insights for higher education stakeholders. The study not only enhances ethical knowledge in AI implementation but also underscores the importance of diverse perspectives in shaping ethical decision-making within the higher education landscape.

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