AI Governance

AI governance defines the rules and controls for responsible AI use. Learn about AI policy, compliance frameworks, and auditable AI systems.

AI governance is the set of policies, controls, and audit mechanisms that define how an organization uses AI responsibly across its operations. It ensures that AI systems are used in a way that is safe, secure, compliant with regulations, and aligned with corporate values.

The core pillars of AI governance

  1. Accountability: Assigning clear ownership for AI risks and outcomes.
  2. Transparency: Being able to explain why an AI system took a specific action.
  3. Auditability: Maintaining a tamper-evident record of all AI interactions and policy decisions.
  4. Safety and Security: Protecting AI systems from manipulation and preventing them from causing harm.
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