AI Governance and Data Infrastructure

Propose a governance model for AI safety evaluation and critical digital infrastructure projects that balances innovation with safety and accountability. Outline roles for government regulators, industry, and international bodies, plus standards for risk assessment, transparency, and redress. Include mechanisms for auditing AI systems, overseeing data centers, and a crisis-response plan for AI-enabled incidents; provide a multi-stakeholder oversight diagram and clear evaluation criteria.