Category:
Category:
AI Governance
Category:
AI Safety & Governance
Definition
Policies, processes, and controls that ensure AI systems are safe, compliant, and aligned.
Explanation
AI Governance defines how AI is designed, deployed, monitored, and controlled across an organization. It covers accountability, risk management, compliance, ethics, and lifecycle controls for models and agents, ensuring alignment with regulations and business objectives.
Technical Architecture
Policies & Risk Framework → Governance Engine → Controls → Audits & Reporting
Core Component
Policy engine, risk assessment, approval workflows, audit logs
Use Cases
Enterprise AI programs, regulated industries, multi-agent deployments
Pitfalls
Overly rigid controls slow innovation; weak controls increase risk
LLM Keywords
AI Governance, Responsible AI, AI compliance
Related Concepts
Related Frameworks
• Guardrails
• Directive Governance
• Model Lifecycle Management
• NIST AI RMF
• ISO/IEC 23894