What Is AI Governance?
AI governance is the set of policies, controls, and accountability that decide how an organization builds, deploys, and monitors AI responsibly. It defines who is allowed to do what with AI, how risks are checked, and how decisions made by AI systems are tracked and reviewed.
What AI governance covers
AI governance spans the rules and the mechanisms that enforce them. That includes deciding which use cases are allowed, setting standards for data and model quality, requiring human review on high-stakes decisions, and keeping audit trails so an outcome can be explained later. The aim is to let a company use AI without losing track of how it behaves.
Why AI governance matters for business
AI governance matters most as AI starts making or influencing real decisions. An ungoverned system can act on biased data, expose private information, or make a call no one can account for afterward, and in regulated industries that is a legal problem, not just a technical one. Governance is what lets a business scale AI past experiments without inheriting risk it cannot see.
At Custom AI Studio, governance is built into a system from the start, with permission boundaries, audit logs, and human review on the decisions that carry weight.
Related terms
Frequently asked questions.
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What is the difference between AI governance and responsible AI?
Why is AI governance important?
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