← Back to AI Glossary

AI Glossary

AI Control Testing

AI Control Testing is the process of evaluating whether AI governance controls and safeguards are operating effectively to reduce AI-related risks.

AI Control Testing

Overview

Implementing AI controls is only part of responsible AI governance.

Organizations also need to verify that those controls are working as intended.

This process is known as AI Control Testing.

AI Control Testing is the process of evaluating whether governance controls, security safeguards, and operational procedures are functioning effectively to reduce AI-related risks.

Control testing may evaluate:

  • Access controls
  • Security controls
  • Human oversight
  • Approval workflows
  • Monitoring procedures
  • Documentation requirements
  • Compliance processes

A helpful way to think about AI control testing is testing smoke detectors in a building.

Installing them is important.

Regularly testing them ensures they will work when needed.

Organizations apply the same principle to AI governance controls.

AI control testing supports AI Assurance, AI Audit, and AI Risk Management.

Why It Matters

Testing governance controls helps organizations identify weaknesses, improve reliability, strengthen compliance, and reduce organizational risk.

Real-World Example

Before an external audit, a company tests whether every high-risk AI model completed its required governance approvals, documentation reviews, and security assessments.

Related Concepts

Related Articles