Learning series
AI Governance Foundations
A four-part introduction to the structure behind effective AI governance. Read in order or use each part as a standalone reference.
What Is AI Governance?
A practical definition, what AI governance covers, and why accountability comes before tooling.
Roles and Accountability
How leadership, system owners, risk functions, and technical teams divide responsibility.
Risk, Controls, and Evidence
How governance decisions become controls, records, monitoring, and evidence.
Independent Assurance
How readiness, internal review, independent audit, and certification differ.
AI Governance in Layman's Terms
AI governance is how an organization makes rules for using AI, decides who is responsible, checks for problems, and keeps proof that the rules are being followed.
That simple definition is the starting point. The details become more important as AI affects customers, workers, business decisions, personal information, and other systems.
What This Guide Covers
The four articles expand the definition one layer at a time:
- Part 1 explains what AI governance covers and why governance is broader than a policy.
- Part 2 explains ownership, accountability, decision rights, and escalation.
- Part 3 connects risk decisions to controls, evidence, monitoring, and testing.
- Part 4 explains readiness, audit, independence, and assurance.
The series is for people who need to understand AI oversight without first becoming an AI engineer or an auditor. Governance, risk, compliance, privacy, security, audit, legal, product, and technical practitioners can use the same foundation to work across disciplines.
How to Use This Guide
Start with Part 1 if AI governance is new. Experienced practitioners can jump directly to the topic that matches the current problem. Keep the AuditDIFF Glossary nearby. The glossary separates plain-language explanations from legal, regulatory, standards, ForHumanity, and audit terminology.
When a linked term appears in an article, use the glossary entry to understand the source and authority behind the term. Then return to the guide for the operational context.