What area must be specifically added to ensure effective AI audits?

To ensure effective AI audits, it's essential to incorporate AI-specific audit areas. This focus is crucial because traditional auditing practices may not adequately address the unique risks and complexities associated with AI systems. AI-specific audits involve evaluating data quality, algorithm fairness, model accuracy, and compliance with ethical standards, which are pivotal in assessing an AI system's overall performance and governance.

Integrating these specific areas ensures that auditors can thoroughly examine aspects unique to AI technology, such as bias in decision-making processes or the interpretability of algorithms. Without including these tailored components, audits risk overlooking critical factors that might affect the functionality and ethical implications of AI applications.

While the other options include important business functions, they do not specifically address the unique requirements and challenges posed by AI technologies. Therefore, focusing on AI-specific audit areas is essential for advancing the effectiveness and reliability of AI audits.