AI Glossary
AI Audit
A structured review used to evaluate how an AI system is developed, deployed, governed, and monitored.
AI Audit
Overview
As organizations increasingly rely on AI systems, they often need ways to evaluate whether those systems are operating as intended.
This is where AI audits become important.
An AI audit is a structured review of an AI system, its processes, controls, documentation, and governance practices.
A helpful way to think about an AI audit is a health checkup.
The goal is not necessarily to find problems.
The goal is to assess the overall condition of the system and identify opportunities for improvement.
AI audits may examine areas such as governance, risk management, privacy, security, compliance, transparency, and operational controls.
Organizations use audits to improve accountability, build trust, and demonstrate responsible AI practices.
As AI adoption continues to grow, audits are becoming an increasingly important part of governance programs.
Why It Matters
AI audits help organizations evaluate whether AI systems are operating responsibly and effectively.
Real-World Example
A company may conduct an audit of an AI-powered customer service system to review governance, privacy, and security controls.