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AI Glossary

What is AI Governance?

Frameworks, policies, and regulations that guide the responsible development, deployment, and use of AI systems.

By Council Research TeamUpdated: Jan 27, 2026

Definition

AI governance encompasses the rules, standards, organizational structures, and regulatory frameworks that guide how AI systems are developed, deployed, and monitored. This includes government regulations (EU AI Act, executive orders), industry standards (NIST AI Risk Management Framework), company-level policies (responsible use guidelines), and international coordination efforts. Key governance concerns include safety testing requirements, transparency obligations, bias auditing mandates, liability frameworks, and export controls on AI technology. Effective governance balances innovation enablement with risk mitigation, ensuring AI benefits are broadly shared while harms are minimized.

Examples

1EU AI Act classifying AI systems by risk level with corresponding requirements
2NIST AI Risk Management Framework providing voluntary governance guidelines
3Companies publishing model cards documenting capabilities, limitations, and intended uses
4Internal AI review boards at tech companies evaluating model release decisions

Why It Matters

AI governance affects which AI tools are available to you and how they behave. Regulations shape model safety features, data handling practices, and the transparency of AI systems you interact with daily.

Related Terms

AI Ethics

The moral principles and philosophical frameworks guiding the responsible development and deployment of AI systems.

Responsible AI

The practice of developing and deploying AI systems that are safe, fair, transparent, and accountable throughout their lifecycle.

AI Audit

A systematic evaluation of an AI system's performance, fairness, safety, and compliance with established standards.

AI Bias

Systematic errors in AI outputs that unfairly favor or disadvantage certain groups based on characteristics like race, gender, or age.

Common Questions

What does AI Governance mean in simple terms?

Frameworks, policies, and regulations that guide the responsible development, deployment, and use of AI systems.

Why is AI Governance important for AI users?

AI governance affects which AI tools are available to you and how they behave. Regulations shape model safety features, data handling practices, and the transparency of AI systems you interact with daily.

How does AI Governance relate to AI chatbots like ChatGPT?

AI Governance is a fundamental concept in how AI assistants like ChatGPT, Claude, and Gemini work. For example: EU AI Act classifying AI systems by risk level with corresponding requirements Understanding this helps you use AI tools more effectively.

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