What is AI Governance?
A framework of policies, processes, and controls that ensure AI systems are ethical, transparent, compliant, and aligned with organisational values.
Definition
A framework of policies, processes, and controls that ensure AI systems are ethical, transparent, compliant, and aligned with organisational values.
AI Governance is the discipline of establishing policies, processes, and controls to ensure artificial intelligence systems are developed, deployed, and operated responsibly. It encompasses risk management, model auditing, bias detection, transparency, accountability structures, and regulatory compliance across the AI lifecycle. YIPS Africa’s AI Governance methodology aligns with ISACA’s AI auditing guidance and COBIT 2019 governance framework.
For regulated enterprises across Africa — particularly in banking, insurance, and government — AI Governance is essential for managing model risk, meeting regulatory expectations (POPIA, NDPA, GDPR), and maintaining stakeholder trust. A robust AI Governance framework covers everything from model inventory and risk classification to continuous monitoring and independent assurance.
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