---
Title: "What Is AI Governance? Framework and Examples"
Url: "https://computer.io/glossary/ai-governance"
Topic: "AI safety"
Description: "AI governance is the policies, processes and controls that make AI use safe, compliant and accountable. Key components, frameworks and examples for enterprises."
---

# What is AI governance?

AI governance is the set of policies, processes, roles and technical controls an organization uses to make sure its AI systems are safe, fair, compliant, secure and accountable, covering which AI is approved, what data it can use, how it is tested and who oversees it.

## Components

| Component | Example |
| --- | --- |
| Policy | Approved use cases |
| Data controls | No PII in prompts without redaction |
| Access | Permission-aware AI |
| Testing | Evals and red-teaming |
| Oversight | Human approval for risky actions |
| Accountability | Audit trails and owners |

## Frameworks

Common references include the EU AI Act, NIST AI Risk Management Framework and ISO/IEC 42001.

## FAQ

### Why is AI governance important?

It reduces legal, security and reputational risks from AI.

### Who owns AI governance?

Often a cross-functional group of legal, security, data and business leaders.

### How does governance apply to AI agents?

Agents need extra controls because they take actions.

## Related terms

- [AI guardrails](https://computer.io/glossary/ai-guardrails)
- [Human in the loop (HITL)](https://computer.io/glossary/human-in-the-loop)
- [Which AI agents are safe for enterprise use?](https://computer.io/answers/which-ai-agents-are-safe-for-enterprise-use)

## How Computer helps

- [How computer works](https://computer.io/how-computer-works)

## Further reading

- [Build enterprise ai agents](https://devrev.ai/blog/build-enterprise-ai-agents)