Systematic examination and evaluation of AI systems, processes, and governance to assess compliance with internal policies, ethical principles, and external regulations. Audits provide independent verification of AI system behaviour and management.

AI auditing provides crucial accountability mechanisms for ensuring AI systems operate as intended and comply with relevant requirements. Audits may examine various aspects of AI systems, including performance across different demographic groups, security controls, data handling practices, and alignment with ethical commitments. Effective auditing practices include clear standards, comprehensive documentation, appropriate testing methodologies, and independence to ensure objective assessment. Regular audits throughout the AI lifecycle help identify and address issues before they cause significant harms.

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A third-party auditor conducting a comprehensive review of a hiring algorithm to verify that it meets fairness standards across protected characteristics, complies with equal employment opportunity regulations, and aligns with the organisation’s stated diversity and inclusion objectives.