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While integrating AI into education—particularly in health sciences—offers great potential, it raises significant ethical concerns. Academic integrity and ethical awareness are critical in using this technology responsibly. We developed and validated the AI Ethical Awareness and Academic Integrity Scale (AI-EAAI) to assess these dimensions among health sciences students. Using a cross-sectional design, we followed a structured scale development process: item generation, content validation through pilot testing, and psychometric evaluation. Exploratory and confirmatory factor analyses confirmed the scale’s reliability and validity across six domains: transparency, fairness, privacy, accountability, human and social impact, and academic integrity. The final 32-item AI-EAAI scale demonstrated strong internal consistency (Cronbach’s alpha = 0.92) and construct validity. Factor analysis supported the six-factor model, explaining 41.4% of the total variance. The AI-EAAI offers a robust tool for promoting ethical engagement with AI technologies and enhancing academic integrity in health sciences education.
Abuadas et al. (Tue,) studied this question.
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