Internal auditors should focus on people more than algorithms as AI use grows in their organizations.
Internal auditors are urged to treat AI risk as a product of human decisions across the lifecycle and to anchor assurance in four pillars — governance and accountability, data quality and bias control, model transparency and explainability, and human oversight.