Measuring attitudes of ethical use of GenAI in the work of university educators in Slovakia

A cross-sectional quantitative survey investigated university educators' attitudes towards 31 identified ethical problems related to the use of Generative AI (GenAI) in their academic work. The study aimed to empirically establish priorities for institutional AI governance, addressing a gap in existing literature regarding how educators differentiate and prioritize these ethical dilemmas. Data was collected from 388 educators across Slovak public and private universities.

Understanding the practical ethical concerns of educators regarding GenAI is critical for developing effective and accepted institutional policies. This research directly informs the strategic integration of AI by identifying areas requiring immediate governance attention and resource allocation, ensuring that technological advancement aligns with ethical principles and educator adoption.

Existing AI ethics frameworks offer broad principles but lack empirical evidence on educators' practical prioritization of ethical dilemmas.

Forward consideration, not a verified fact.