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Glossary/AI Model Auditing
AI Governance

What is AI Model Auditing?

An independent evaluation of an AI model's performance, fairness, robustness, and compliance with regulatory and ethical requirements.

Definition

An independent evaluation of an AI model's performance, fairness, robustness, and compliance with regulatory and ethical requirements.

AI Model Auditing is the independent evaluation of machine learning models to assess performance, fairness, robustness, and compliance. Audits examine bias across demographic groups, measure prediction drift, test explainability, and verify alignment with regulatory standards.

In regulated African markets, model auditing is increasingly required for credit scoring, fraud detection, and insurance underwriting models. Independent audits provide stakeholders — including regulators, boards, and customers — with assurance that AI systems are fair, transparent, and compliant.

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