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Glossary term
An independent examination of an AI system's performance, risks and compliance.
An AI audit independently examines a system: its data, performance, bias, security and compliance with rules or standards. Auditors may test it with their own data or review documentation and processes. Quality varies, and there are few settled standards yet.
Audits are a way to verify claims made by AI developers instead of taking them on trust.