AI Governance
Artificial Intelligence Governance
Rules and frameworks that organizations and society establish to ensure AI is used safely and responsibly.
In Simple Terms
AI governance refers to the guidelines and management systems put in place to ensure AI is used safely. Organizations establish operational rules and conduct checks to prevent AI from making biased decisions or leaking personal information. For example, regularly reviewing training data for bias during the development of an AI-powered service is one practical application of AI governance.
Behind the Name
AI Governance combines AI (Artificial Intelligence) and Governance. Governance traces back to a Latin word meaning "to steer a ship." The term captures the idea of humans maintaining proper oversight so that AI stays under control.
Take a Closer Look!
AI governance refers to the management frameworks and rules that enable organizations to use AI safely and appropriately.
It describes the operational standards that organizations set for themselves in order to deploy AI in a way that earns public trust.
AI is being adopted across many fields, but used carelessly it carries real risks — privacy violations, copyright issues, and inappropriate discrimination, to name a few.
To prevent these problems, systems are needed to assess risks from the development stage onward and to objectively audit how AI behaves.
The focus is not just on fixing errors, but on actively managing AI's broader impact on society.
In practice, this means sharing AI usage policies across an organization and clearly defining who is responsible when problems occur.
Ensuring accountability — the ability for humans to explain why an AI reached a particular decision — is another key part of this framework.
AI governance is about building the foundation for ethical AI use, not just legal compliance.
The goal is a world where humans remain in control of AI, not the other way around.