AI Governance and Safety Controls

Evaluate approaches to safeguarding powerful AI systems, including design-level safety, governance by institutions, and regulatory thresholds. Compare centralized versus distributed control, real-time monitoring, and escalation protocols. Create a risk-based, proportional control framework that enables responsible innovation while protecting public interests.