Beyond transparency: why explainable AI is essential for educational equity in low-resource language communities

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Research International Source checked
Source
Journal of Enabling Technologies
Published
2 Dec 2025
Authors
Quang-Vinh Dang

Excerpt from source

This opinion paper argues that explainable artificial intelligence (XAI) represents a critical bridge for achieving educational equity in higher education for low-resource language communities, but only when implemented through genuine community leadership and cultural sensitivity. Drawing on recent research (2022–2025) and successful indigenous-led AI initiatives, this paper examines the intersection of technical capability, trust dynamics and educational outcomes. It presents an integrated framework combining the CARE Principles for Indigenous Data Governance with the XAI-ED framework for ethical XAI implementation in education. While technical advances have achieved remarkable accuracy…

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