AI Governance
The frameworks, policies, and practices that organizations and governments use to ensure AI systems are developed and deployed responsibly.
Components
Risk assessment: Evaluate potential harms before deployment. Accountability: Clear ownership of AI decisions. Transparency: Document model capabilities and limitations. Monitoring: Ongoing oversight of deployed systems.
Regulatory Landscape
The EU AI Act (risk-based regulation), US Executive Order on AI Safety, China's AI regulations, and industry self-regulation frameworks like the NIST AI RMF.