Safeguarding Integrity in AI-Enhanced Education: Stakeholder Perspectives on Accuracy, Validity, and Ethics in ASEAN

Abstract

Artificial Intelligence (AI) is rapidly reshaping educational systems worldwide, raising critical debates about the reliability of AI-generated content, the validity of AI-driven assessments, and the ethical implications of its integration into diverse learning environments. This study examines the integrity of AI-enhanced education within the ASEAN region by focusing on three core dimensions: content accuracy, assessment validity, and ethical challenges. Data were collected from 661 respondents, including educators, policymakers, and technology providers, during the ASEAN Stakeholder Summit 2024 through a cross-sectional survey design. To interrogate the data, Chi-Square Tests of Independence were used to explore associations between categorical variables such as gender and ethical concerns, while ANOVA assessed differences in perceptions of AI-driven assessments across ASEAN member states. Correlation analysis further investigated relationships between respondent demographics and perceptions of AI accuracy, offering a nuanced view of stakeholder trust in AI-enabled practices. Findings indicate that while AI holds transformative potential for education, its deployment must be accompanied by region-specific guidelines, rigorous ethical safeguards, and multi-stakeholder collaboration. Such measures are essential to ensure that AI-driven education is both culturally relevant and socio-economically equitable, supporting responsible and sustainable implementation across the ASEAN context.

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