AI Governance
The framework of policies, processes, and technologies used to ensure AI systems operate ethically, transparently, and in compliance with regulations.
Full Definition
AI Governance encompasses the organizational policies, technical controls, regulatory compliance measures, and ethical guidelines that govern the development, deployment, and operation of AI systems. For enterprises deploying autonomous AI agents, governance means implementing real-time monitoring, audit trails, anomaly detection, bias checking, and compliance mapping to ensure every AI decision is traceable, explainable, and aligned with organizational values and legal requirements. Effective AI governance addresses three pillars: transparency (explainability), accountability (audit trails), and compliance (regulatory alignment).
Related Terms
EU AI Act
The European Union's comprehensive legal framework for regulating AI systems based on risk classification.
Audit Trail
A chronological, immutable record of every decision, action, and data access made by an AI agent.
Explainability
The ability to understand and communicate why an AI system made a specific decision or produced a particular output.