October 10, 2025Deleted JournalOpen Access

Ethics and Governance of AI in Education: Balancing Innovation and Accountability

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Qualitative analysis reveals gaps in governance and ethical principles in AI education, highlighting accountability issues.

The research identifies significant gaps in governance mechanisms for AI in education, calling for urgent reforms.
Key findings highlight low ethical literacy among educators and weak accountability structures in institutions.
Qualitative analysis of policy documents and expert interviews underscores the need for harmonized global AI policies.
A proposed conceptual model integrates transparency, fairness, and accountability, guiding responsible AI usage.

Komarudin Komarudin (2025) studied this question.

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