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All Journal Journal of Information Systems Engineering and Business Intelligence
Aedah Binti Abd. Rahman
Asia E University, Selangor
Computer Science & IT

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Determinants of Trust in Artificial Intelligence in Indonesian Higher Education: A PLS-SEM Analysis Based on the Trustworthy Artificial Intelligence Framework Dwi Yuniarto; A'ang Subiyakto; Aedah Binti Abd. Rahman
Journal of Information Systems Engineering and Business Intelligence Vol. 12 No. 3 (2026): October
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.12.3.615-628

Abstract

Background: Trust in Artificial Intelligence (AI) is essential for adopting AI in higher education. However empirical validation of trust dimensions in Indonesian academia remains limited.   Objective: This study examines the factors influencing academics’ trust in AI in Indonesian higher education using the trustworthy AI framework of the European Commission.  Methods: A quantitative survey of 109 lecturers (response rate: 62.6%) was conducted using purposive sampling. Data were analyzed through partial least squares structural equation modeling (PLS-SEM).  Results: Robustness is the only dimension with a significant positive effect on trust in AI, while fairness, explainability, transparency, and data privacy show no significant influence. These findings indicate that academics prioritize system reliability, stability, and performance over broader ethical dimensions.  Conclusion: Unlike many previous studies conducted in developed countries where fairness, transparency, explainability, and privacy play important roles, this study found that only robustness significantly influences the trust of academics in AI. These findings provide contextual evidence that Trustworthy AI dimensions may operate differently across higher education environments in developing countries.  Keywords: Artificial Intelligence, Trust, Robustness, Transparency, Fairness, Higher Education 
Co-Authors A'ang Subiyakto Dwi Yuniarto