AI Governance
The rules, roles, and processes that keep an organization accountable for how it uses AI.
What it means
AI governance answers a simple question: who is responsible when an organization uses AI, and how do they exercise that responsibility? It covers policies, review processes, committees, and the records that show decisions were made properly.
It is less about the technology itself and more about how the organization makes decisions about it.
What it usually includes
Accountability
Named people who answer for each AI system.
Policy
Clear rules on what is and is not acceptable.
Risk review
A consistent way to assess potential harm before use.
Oversight
Monitoring once a system is live, and a way to raise concerns.
Why it matters
AI can affect people at scale, and its errors can be hard to see. Without governance, teams adopt tools on their own, nobody can say what is in use, and problems surface only after harm has occurred.