Glossary · AI Agents and Knowledge Bases

AI governance

AI 治理AI Glossary

In one sentence

An enterprise's rules and oversight for AI usage: who can use it, what data it can handle, who is accountable for errors, and how actions are logged and audited.

When employees use AI independently, the enterprise loses track of where data flows and whether AI-generated outputs contain errors. AI governance clarifies several areas: approved tool lists, data classification, actions requiring human sign-off, log retention, and routine audits.

Governance is not about banning AI; it is about putting AI to work within controllable boundaries.

Example

Company policy: Customer contact details must not be shared with external AI tools; AI-generated content published externally must be approved by the designated lead; all AI agent action logs must be retained for 180 days.

Related terms

Human-in-the-Loop: Keep human approval checkpoints within AI-driven workflows: humans make critical decisions, while AI handles preparation and execution.
On-premises deployment: Installing AI systems or models on an enterprise's own servers or dedicated cloud environment so data never passes through public platforms.
Advertising Law Compliance: Marketing content complies with regulations such as the Advertising Law of the People's Republic of China, avoiding superlative claims, false advertising, and regulatory overreach in sensitive industries.