AI Governance Layered Architecture
A comprehensive 6-layer framework for responsible AI implementation. Adopted by leading African institutions and cited in the African Union Digital Strategy for building trustworthy AI systems.
The 6 Layers of AI Governance
Our layered architecture provides a systematic approach to AI governance, from foundational infrastructure to sovereign oversight. Each layer builds upon the previous, creating a comprehensive framework for responsible AI deployment.
Foundation Layer
Secure infrastructure and data governance as the base for all AI initiatives.
Data quality and lineage management
Secure AI infrastructure (compute, storage, networking)
Data sovereignty and localization controls
Infrastructure monitoring and compliance
Ethics Layer
Ethical principles and human oversight to ensure AI systems align with societal values.
AI ethics framework and principles
Human-in-the-loop oversight mechanisms
Bias and fairness assessment protocols
Ethical review board and governance
Risk Layer
Comprehensive risk assessment and management for AI system deployment.
AI risk taxonomy and assessment methodology
Model vulnerability testing and adversarial attacks
Operational risk monitoring and controls
Incident response and recovery planning
Compliance Layer
Regulatory compliance and legal frameworks for AI system deployment.
Regulatory mapping and compliance requirements
Automated compliance monitoring and reporting
Data protection and privacy compliance
Audit trails and documentation requirements
Governance Layer
Organizational structures and processes for ongoing AI governance and oversight.
AI governance committee and decision-making
Model lifecycle management and versioning
Performance monitoring and continuous improvement
Stakeholder communication and transparency
Sovereignty Layer
National and regional sovereignty considerations in AI system design and deployment.
AI sovereignty strategy and roadmap
Local AI ecosystem development and partnerships
Technology transfer and capability building
Regional AI standards and policy influence
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