AI Safety Governance Models

Analyze the design principles behind national AI-safety governance bodies, including mandate scope, interagency coordination, funding, oversight mechanisms, and accountability. Compare at least three governance models (centralized, distributed, and sector-specific) and assess their strengths and weaknesses for enabling safe AI deployment in government and industry. Propose a research roadmap for improving AI safety readiness in both public services and private enterprises.