While predictive accuracy and timeliness are operational requirements, " Decision fairness " is the most critical ethical and legal consideration in recruitment AI. Stakeholders, including candidates, regulators, and management, require assurance that the system does not discriminate against protected groups based on gender, age, or ethnicity. The ISACA AAIA™ Study Guide emphasizes that for high-impact human resource applications, auditors must prioritize fairness testing and bias assessments to prevent reputational damage and legal liability. A system that is highly accurate but biased fails to meet the ethical standards and " stakeholder needs " of modern governance.