Systematic literature review identifies ethical AI governance challenges and highlights modular and explainable solutions.
This paper conducts an SLR on the architectural solutions for the AI governance platforms that advocate for ethical, transparent, and legally compliant AI implementation, their performance, and the challenges associated with their frameworks. That said, it reveals that these platforms are designed for responsible AI by being modular, explainable, and compliant with the GDPR and ISO/IEC 42001 standard. However, there are some issues, including no integration, low standardization, and problems with high implementation. The study shall use thematic synthesis to draw conclusions on the technical and regulatory proposals for generalized cross-sectoral application and enhancement of governance. It also aids in strengthening the possibilities used for enhancing the concept of governance mechanisms to foster belief in artificial intelligence systems.
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Firoz Mohammed Ozman (2025) studied this question.
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