GovGPT: An Ethics-Integrated Governance Architecture for Curriculum-Aligned, Child-Centric Educational AI Systems
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V5I1P118Keywords:
Educational AI Governance, Child-Centric AI, Ethical AI, Curriculum Alignment, Safety-Critical Systems, IEEE Standards, Responsible AIAbstract
This paper introduces GovGPT, a comprehensive governance architecture for educational AI systems that integrates ethical constraints directly into system design. Building upon prior work on curriculum alignment and hallucination mitigation, we formalize child-centric safety and pedagogical appropriateness as first-class architectural concerns. The framework operationalizes emerging IEEE standards (P7004/P7008) through a multi-layered governance stack comprising: (1) a Policy Interpretation Layer translating ethical guidelines to executable constraints, (2) a Curriculum Authority Layer enforcing syllabus boundaries via retrieval-augmented generation, (3) a Child-Safety Filtering Layer implementing age-appropriate content screening, and (4) an Audit Layer providing explainable compliance verification. We introduce formal definitions for governance failures in educational contexts, prove bounded deviation properties under policy constraints, and validate the architecture through simulated deployment scenarios. Experimental results demonstrate a 47% reduction in policy violations and 92% compliance with child-safety standards compared to baseline systems, while maintaining pedagogical efficacy. This work establishes a foundation for systematically trustworthy educational AI that balances generative capability with ethical responsibility.
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