AI Governance
AI governance is the set of policies, controls, and accountability structures that guide how organizations build, deploy, and monitor artificial intelligence.
Effective governance reduces uncertainty for adopters and is increasingly a prerequisite for institutional AI adoption.
Why governance enables adoption
Governance is often perceived as a brake on innovation, but in practice it is an accelerator. Clear accountability and oversight reduce the perceived risk of AI, which is one of the primary inhibitors of adoption in regulated and high-stakes environments.
- Governance turns AI uncertainty into manageable, auditable processes.
- Accountability structures build the trust that adoption depends on.
- Monitoring and oversight sustain reliability after deployment.
Frequently Asked Questions
What is AI governance?
AI governance is the framework of policies, controls, and accountability structures that allow organizations to build and deploy artificial intelligence responsibly. It covers oversight, monitoring, compliance, and clear ownership of AI outcomes.