KPMG’s white paper highlights how AI and data analytics can transform internal audit (IA) by boosting efficiency, speed, and quality. Key applications include fraud detection, risk assessment, continuous monitoring, audit planning, and automation of routine tasks. Benefits include full-population testing and faster insights, though adoption requires managing risks like data privacy, explainability, and implementation costs. Mitigation involves strong governance, security, training, and realistic ROI goals. KPMG’s Trusted AI framework supports responsible AI use through strategy, ethics, security, assurance, and deployment services.

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