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Using Artificial Intelligence in Higher Education and Research: A Matter of Multifaceted Reciprocal Trust
Abstract
There are two main issues related to the use of GenAI in higher education: (1) relationships between students (from undergraduate to master to doctoral students) and their academic mentors (specifically trust relationships between them), where GenAI can be used by both sides, and (2) relationships between doctoral students and their doctoral supervisors in the doctoral research process that involves the publication of research results as well, where GenAI can also be used by all parties involved (hence the “trust question”). The second issue is more complex because with multi-party relationships between two apparently opposite sides (students versus professors in general), what side (metaphorically) will the GenAI take? The same question is posed when a scientific paper is submitted to an academic journal: what side will the GenAI take? The authors' or the journals' (editors and reviewers) side? Several perspectives on GenAI impact are presented, and further questions are formulated. Both secondary and primary research are used as well as cases and examples.
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