Bias Audit
A systematic evaluation of an AI system to detect, measure and document biases in its data, algorithms or outcomes, often conducted by independent third parties.
In plain language
A formal review to check whether an AI is treating different groups fairly. An independent auditor looks for patterns showing that the AI consistently gives worse outcomes to certain groups based on protected characteristics.
Why this matters
Regular bias audits are increasingly expected by regulators and stakeholders. Independent audits provide defensible evidence of responsible AI governance and help you identify fairness issues before they harm users or create legal exposure.
Relevance
GovernanceBias audits are a governance control that demonstrates due diligence and continuous monitoring of AI systems for fairness and compliance.
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