**The Two Approaches to AI Governance: Regulatory Governance

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The Two Approaches to AI Governance: Regulatory Governance vs Inclusive Governance

When it comes to AI governance, two approaches stand out: Regulatory Governance and Inclusive Governance. While they may seem like opposing forces, understanding their nuances can help us create a more harmonious and effective AI ecosystem.

Regulatory Governance: The 'Speed Limit' Approach

Regulatory Governance focuses on establishing strict laws and standards to govern AI development and deployment. This approach is akin to a 'speed limit' for AI, setting clear boundaries and consequences for non-compliance. Regulatory Governance is essential for ensuring accountability, transparency, and fairness in AI decision-making. For instance, the European Union's General Data Protection Regulation (GDPR) sets strict guidelines for data protection, while the US Federal Trade Commission (FTC) has issued guidance on AI-powered marketing.

Inclusive Governance: The 'Design for Everyone' Approach

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