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AI Governance Framework

A structured set of policies, processes, and controls for managing AI development and deployment within organizations, addressing risk management, compliance, and accountability.

Only 32% of organizations using AI have formal governance frameworks, creating significant risk exposure. Key components include model risk management, bias testing, transparency requirements, data governance, and incident response. The NIST AI Risk Management Framework (AI RMF) is the most widely referenced US standard. ISO/IEC 42001 provides an international framework for AI management systems. Over 70 countries have published national AI strategies that include governance guidance. Effective governance is increasingly seen as a competitive advantage as regulation expands globally.

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