Impact of transparency and fairness on students’ intention to use artificial intelligence for learning in Ho Chi Minh City: The mediating role of trust
Published: July 12, 2026
Abstract
This study investigates the effects of transparency and fairness on students’ intention to use artificial intelligence (AI) in learning in Ho Chi Minh City, with trust serving as a mediating variable. Data collected from 218 students were analyzed using quantitative methods to examine the relationships among the proposed constructs. The findings reveal that both transparency and fairness significantly enhance students’ trust in AI systems, which in turn exerts a positive influence on their intention to adopt AI for educational purposes. By integrating the FATE (Fairness, Accountability, Transparency, and Ethics) framework into the Technology Acceptance Model, the study confirms the pivotal mediating role of trust and provides robust empirical evidence supporting the design and implementation of transparent, equitable, and responsible AI systems in education
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